{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Student Performance Analysis Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Attributes\n",
    "\n",
    "1 school - student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira)\n",
    "\n",
    "2 sex - student's sex (binary: 'F' - female or 'M' - male)\n",
    "\n",
    "3 age - student's age (numeric: from 15 to 22)\n",
    "\n",
    "4 address - student's home address type (binary: 'U' - urban or 'R' - rural)\n",
    "\n",
    "5 famsize - family size (binary: 'LE3' - less or equal to 3 or 'GT3' - greater than 3)\n",
    "\n",
    "6 Pstatus - parent's cohabitation status (binary: 'T' - living together or 'A' - apart)\n",
    "\n",
    "7 Medu - mother's education (numeric: 0 - none, 1 - primary education (4th grade), 2 â€“ 5th to 9th grade, 3 â€“ secondary education or 4 â€“ higher education)\n",
    "\n",
    "8 Fedu - father's education (numeric: 0 - none, 1 - primary education (4th grade), 2 â€“ 5th to 9th grade, 3 â€“ secondary education or 4 â€“ higher education)\n",
    "\n",
    "9 Mjob - mother's job (nominal: 'teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other')\n",
    "\n",
    "10 Fjob - father's job (nominal: 'teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other')\n",
    "\n",
    "11 reason - reason to choose this school (nominal: close to 'home', school 'reputation', 'course' preference or 'other')\n",
    "12 guardian - student's guardian (nominal: 'mother', 'father' or 'other')\n",
    "\n",
    "13 traveltime - home to school travel time (numeric: 1 - <15 min., 2 - 15 to 30 min., 3 - 30 min. to 1 hour, or 4 - >1 hour)\n",
    "\n",
    "14 studytime - weekly study time (numeric: 1 - <2 hours, 2 - 2 to 5 hours, 3 - 5 to 10 hours, or 4 - >10 hours)\n",
    "\n",
    "15 failures - number of past class failures (numeric: n if 1<=n<3, else 4)\n",
    "\n",
    "16 schoolsup - extra educational support (binary: yes or no)\n",
    "\n",
    "17 famsup - family educational support (binary: yes or no)\n",
    "\n",
    "18 paid - extra paid classes within the course subject (Math or Portuguese) (binary: yes or no)\n",
    "\n",
    "19 activities - extra-curricular activities (binary: yes or no)\n",
    "\n",
    "20 nursery - attended nursery school (binary: yes or no)\n",
    "\n",
    "21 higher - wants to take higher education (binary: yes or no)\n",
    "\n",
    "22 internet - Internet access at home (binary: yes or no)\n",
    "\n",
    "23 romantic - with a romantic relationship (binary: yes or no)\n",
    "\n",
    "24 famrel - quality of family relationships (numeric: from 1 - very bad to 5 - excellent)\n",
    "\n",
    "25 freetime - free time after school (numeric: from 1 - very low to 5 - very high)\n",
    "\n",
    "26 goout - going out with friends (numeric: from 1 - very low to 5 - very high)\n",
    "\n",
    "27 Dalc - workday alcohol consumption (numeric: from 1 - very low to 5 - very high)\n",
    "\n",
    "28 Walc - weekend alcohol consumption (numeric: from 1 - very low to 5 - very high)\n",
    "\n",
    "29 health - current health status (numeric: from 1 - very bad to 5 - very good)\n",
    "\n",
    "30 absences - number of school absences (numeric: from 0 to 93)\n",
    "\n",
    "\n",
    "# Grades\n",
    "\n",
    "31 G1 - first period grade (numeric: from 0 to 20)\n",
    "\n",
    "31 G2 - second period grade (numeric: from 0 to 20)\n",
    "\n",
    "32 G3 - final grade (numeric: from 0 to 20, output target)\n"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 291,
=======
   "execution_count": 418,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns \n",
    "import sklearn\n",
    "from sklearn import preprocessing\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import log_loss,roc_auc_score,accuracy_score,confusion_matrix\n",
<<<<<<< HEAD
=======
    "from xgboost import XGBClassifier\n",
    "from xgboost import plot_importance\n",
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import KFold \n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import AdaBoostClassifier\n",
<<<<<<< HEAD
=======
    "from itertools import cycle\n",
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
    "from sklearn import svm, datasets\n",
    "from sklearn.metrics import roc_curve, auc\n",
    "from sklearn.preprocessing import label_binarize\n",
    "from sklearn.multiclass import OneVsRestClassifier\n",
    "from scipy import interp\n",
    "from sklearn.metrics import f1_score, recall_score, classification_report\n",
    "from sklearn.metrics import fbeta_score\n",
    "from sklearn.datasets import make_classification\n",
<<<<<<< HEAD
    "from sklearn.ensemble import ExtraTreesClassifier\n",
    "from xgboost import XGBClassifier\n",
    "from xgboost import plot_importance\n",
    "from itertools import cycle\n",
    "import pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>school</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>address</th>\n",
       "      <th>famsize</th>\n",
       "      <th>Pstatus</th>\n",
       "      <th>Medu</th>\n",
       "      <th>Fedu</th>\n",
       "      <th>Mjob</th>\n",
       "      <th>Fjob</th>\n",
       "      <th>...</th>\n",
       "      <th>health</th>\n",
       "      <th>absences</th>\n",
       "      <th>G1</th>\n",
       "      <th>G2</th>\n",
       "      <th>G3</th>\n",
       "      <th>subject</th>\n",
       "      <th>FinalGrade</th>\n",
       "      <th>Regularity</th>\n",
       "      <th>Grade1</th>\n",
       "      <th>Grade2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>18</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>A</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>at_home</td>\n",
       "      <td>teacher</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "      <td>Failure</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>17</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "      <td>Poor</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>LE3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>health</td>\n",
       "      <td>services</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>16</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>Portuguese</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Always Regular</td>\n",
       "      <td>Satisfactory</td>\n",
       "      <td>Satisfactory</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  school sex  age address famsize Pstatus  Medu  Fedu     Mjob      Fjob  \\\n",
       "0     GP   F   18       U     GT3       A     4     4  at_home   teacher   \n",
       "1     GP   F   17       U     GT3       T     1     1  at_home     other   \n",
       "2     GP   F   15       U     LE3       T     1     1  at_home     other   \n",
       "3     GP   F   15       U     GT3       T     4     2   health  services   \n",
       "4     GP   F   16       U     GT3       T     3     3    other     other   \n",
       "\n",
       "       ...      health absences  G1  G2  G3     subject    FinalGrade  \\\n",
       "0      ...           3        4   0  11  11  Portuguese  Satisfactory   \n",
       "1      ...           3        2   9  11  11  Portuguese  Satisfactory   \n",
       "2      ...           3        6  12  13  12  Portuguese  Satisfactory   \n",
       "3      ...           5        0  14  14  14  Portuguese  Satisfactory   \n",
       "4      ...           5        0  11  13  13  Portuguese  Satisfactory   \n",
       "\n",
       "       Regularity        Grade1        Grade2  \n",
       "0  Always Regular       Failure  Satisfactory  \n",
       "1  Always Regular          Poor  Satisfactory  \n",
       "2  Always Regular  Satisfactory  Satisfactory  \n",
       "3  Always Regular  Satisfactory  Satisfactory  \n",
       "4  Always Regular  Satisfactory  Satisfactory  \n",
       "\n",
       "[5 rows x 38 columns]"
      ]
     },
     "execution_count": 292,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train1 = pd.read_csv('input/features.csv')\n",
    "train1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Correlation Plot"
=======
    "from sklearn.ensemble import ExtraTreesClassifier"
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 293,
   "metadata": {},
   "outputs": [],
   "source": [
    "def correlation(df):\n",
    "    corr = df.corr()\n",
    "    fig, ax = plt.subplots(figsize=(20, 15))\n",
    "    colormap = sns.diverging_palette(220, 10, as_cmap=True)\n",
    "    sns.heatmap(corr, cmap=colormap, annot=True, fmt=\".2f\")\n",
    "    plt.xticks(range(len(corr.columns)), corr.columns);\n",
    "    plt.yticks(range(len(corr.columns)), corr.columns)\n",
    "    plt.savefig('Correlation.png', bbox_inches='tight')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "correlation(train1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rLZUXyi6rYt5zm3C4dPqH+rH1AfXMyvbUJUa+hBCiJ8irsFJUVT8b60CucZkTe7PiwfHJ+coYV7PHFrt6O+9vPX7Sx/j6VvX+tqSWoOs6Ll1n2QF1eaGd6WXU2upTcvdlt1zGRXR/RwuqqK5zoOuw32DEc/XBIlw66DpsP6YuxdO8iNaxkpZHhj/d2fKo1Eeb3GNaUxh+/eFiHA3nYHELhbO7Aul8CSGEB8OjgpgzIpK+IX5cO839G3mj2HB/AHzMGreepS73MzLSv+nxZROilDEr7jgx8tTa+VhPXes+KgFw30Wj8Pc2E+znxcOXjlHGXDE5htH96svE/N5gVE/0LDOH9mHSwFD6h/lz5dQByphHLx2Lv7cJX7PGoovUbWd09IkC2A9fPEIZE+Jzopux+i51wn1zb/xmlvs2QkLwbtiMn8GEkJtmDyUqyAdvk8b54/q2uJ/OJrcdRRO57djx5HaM6A2knYveQG47CiGEEEJ0Ue1ZXkgIIbq0aquDdzYdQ9M0bj97GAE+6kvi9CdXUW6xc+30gTx73WRlzJiH4rE2JMEYjdre88lOvk+uX7X+/vkjuPP80cq4xlHoqAAvdj56oTLmueWH+CIxm2mDw3jnFnUJotbadbyUwso6Zg/vQ5jBYqyi+1iyO4cDeRVcN20gY2Lc17uqqalh+tMbsTld3Dt/BH9e4N4ON6Tkc8sH9bNyH790FLfMdV9b66qXN5CUVw3Au7eOZcFo97Xr5vxzNTmVNsD4vLjtgwTWHymif6ifYQmiT7cfZ83hQq6c3N/wVun+7AqyyizMiI0gKrjlBV07k4x8CSF6re/35rA9rZRtx0r4cW+uMuaFlYcpqbHj1OGrROOp8NZm2ce//2C7en/JJ8oF/WtNqjIm7okVTY+LLA5lDMC7WzIos9hYm1LU4lISnhRWWdl4pJjD+VVsPNq5JVfE6cspt/DFzkz2Z1fw3mb18g6/em8XVocLlw7/NmiHt35wYjmUx+KPKGMaO14Av//gkPp4GjpeAOMeUae2rEkpwqlDVrmVtQfdJ484nU7e2niMlPxKXl2rLqVVabXz06ECUvKrWHfYuCxXVyGdLyFErzUgzB9NA02DQeEBypipg06sVq+oLax03phTT/idPkRdKujnAnzq0/HNGsScxrf8QB8vfBuymY1KEInuI8TPm8CGMlFGJX+atzFfgwT24GalpnxaMfOjNafG2H7qMkHNf3ZEtPtIndlsJtS/vpRReKC6jfp6mZret1FMVyIJ96KJJNx3PElE7nwH8yowoSlvzzT6aMsxlu7L540bpxIZqu6krdiZw53fJDFnWBif3D7HcFvDFsXjpcGRp43b9+UvbeBgfjWb/jKV/v3d12ACyK+o5vV16Vw1ZQDTYyMMt9UalVY7FRY7A8P90bS2LbkC0s47WmGllfTiGqYPDsfLoHP1j6UHSMoq56s7jdvqBf9eR53dxYb7jdfMil0Uj58JDv9T3Z5zc3OZ+8oeRkYHsOLec5UxKQXlPPjNAW6ZPYQrpqpnFBdW1rLtWClnj4wiPEjduaqpc1BaY2NAmH+blw5qjS5VXuhUSeer40nnq+PJh5LoDaSdi95AZjsK0U0VVFqx2IzzfETr6bpOfoUVq93pMe7JH5P51zLP5VHu/SKRMQ/Hk5dnXMrnh+QUYhfFc8NrGzxua8yD8Uz+u+cvOjlltWxI8Zy3YrM5WXMon5IWFpQsqa6jotZgRddOIu28fZVbbOzLLsflchnGXP7yesY+7LkdTn18GWMf8hwz7pF45j3zk8eYi19az79XqnPCAMqrrCxcnETS8TLDGLvTRV5FLQ6n8XvqTqTzJUQXse1YCZ/tyOTjbcflg6kNrEsp5POETD7dkYnd4IJ99WubeW/Lcd7YmM4v3tqijHl66X6+TSrA6oDZL+823N9fPqlPXE7Irua5H/crY2IXxWN1QYXVeKQ5v6KWW97fwYNL9rPo632G+/vT57t59PsD/Ob9Hdhs6g7m0YIqPt5+nI+2ZlDQQh2/jiLtvH1VWx3c99Ve/hF/iFfWqpPp5z69mv15NdQ6jNth7KJ4ymp1ap2eYyx2yCivM+zIDV0Uz6H8Gl5Zl2bYAZv97DoW787hmje3Ul6lbqff7Mrmi4QsftynnhjT3UjnS4guorDhomOxOamyyofS6SqorB8Rqqy1U2sw+nWs6MRsrSMF6oLYy5PVZXk8WXrg1D8gjpdamo73eKlxke7chkLfFbUOqgw6MYVVdeg6OF16lym5Iu28fZXV2qhs+L1mlVqUMVkVNuXzp6PW4E/ZPLFp9SH1uVTnqP9y5NLhSLNzsmkbuk5hQ4mvxvO6u5N1vnqIrpavJU7enBGRAEQF+9LXYJaSaL15o6PYkVbKoIgAQvy8lTEv/WIKt39SP6X+9V+pS/RsXLSg6fwKVG/GzYZF6rW5psQENU3P/8MZg5Qxs4b24fxxfUktrOGP89zXTWp05znD+XxnFmcM7UOfIPVsx6mDw6ioteNjNjG6r3qmWUeTdt6+BoUHcMWU/hzKreSGGeo2tvnPkznrtb0ADAhRJ6//enoMn+6qv81+ZmyoMmZc3wAOFtR38F67epIyJm5IGInHy9GA5X+dp4w5f2w0a1OKGBTuz8xhkW6va5rGBeP7ciivkkkDwxRb6H4k4b6H6ImdL0m4F6JnkHYuegNJuBdCCCGE6KLktqMQXURhpZUNR4qIDvHj7JGR7bLeUk+xI62E46UWZg/rw6AI9bpbZ/5zNbmVNkxAmsEo6l8+3ckP++tnFd4yawCPXz1FGdd8ZNloRLY1MZ9tT+eh7w5i0uDj383kzJFRyrjNR4vJq6jlrJGRxIT6K2M2HS3ih6Rcpg4O58ZZg5UxXdHB3Ao+3JrB4IgA/jRvOCaTjAE0Si+uYWd6KcOjA5k+RL1226trjrLhSBGXTIzhd2cNVca01Ba/23+Yv356DMDw/Hhr7WGeXlUfc8O0fjx7w3S3mIVf7mHxnvr8xsV3zGTmUPf2fPVrm9iTXYkG7H1wLiEh7uvpNbblKYPD+PWsIcr31NNIqxeii9iWVkJ2WS27j5f1mKTS9lBptbP1WAk5ZbVs8lAOJ7ehrImL+g8JlcaOF8BHO3KUMcNO4Zb+gmfVU++fij+MDjh1uPsL9TEVVdWxM6OU7LJatqaWGO7jsx2ZZJZa+D4phwpL2ydQt5fPE7I4XmJh09FiknMrO/twupSNR4rIKa9l45Fi5RIpTqeTLxOzyKuo5ZPtx5XbmPr4shb309jxgvrzQ6Wx4wWweLd7yR+gqeMFcMv76tvKe7Lr/8Y68KsP1G3+84T6tvxDUi7l3agtnw7pfAnRRfQPqx/hCPL1aiqlIdwFeJuJaCgfMiBcPSr0c9fNVK+a7d1scNHXoITK+SNPPsH39jPVifIjooOaHk8frC4jFOznRbBf/U2JxjahMjQyEIB+oX4EGhQE74pG9q3/HQT5ejEwTD1q2Vs1/r2jgn3xUdSyMpvNxITWT1IYGKFuG7+Yqk6yby6sFdWo+gScaFN+Bs0ruFndoakD1RUizM3OsSsnqwtiD42sbxN9Q/wI6kZt+XRIwn0PIQn33dPPE5HLamwE+Jrx9WpFMbVezOZwUWW1G87ya3TjW1u4edYgLp5ifFvu2tc24eOt8fkdZxnG3PHeFlYeLffYJtPS0rjk3UPcPHMQD12lnvkF8M6GVAJ9zdx4hvqWEUCdw0lNnbOpk6nicrlIK6phYLg/fl38A+vn7Ty9qJrIYF+CDWah9la6rlNaYyPE3xtvg0KitTYnB3LKmTQgDB+DoosPfbWbb5PyOPQP4/Z66YtrOFpg5YiHNn3Ppzuptjp477bZxjGfJzIkIpB7LxxrGHPHRwlcOimGKww6ho1tuX+4PwFdvC170iXKC2ma1h9YCowDgnRdd2ia9iIQB+zWdf0eTz8vna+T0xM7X22hq3fgZBaY6A2knYveoENmO2qaNqaFkFJgPrC9IX4aEKjr+lzAR9O0Gae6byF6IpdLJ62omrKa3pHzcDpeWnmIef9ay8E843Ikry4/ROyieOKe8JwDE7sovsUvL6MbYt5cfcAwJjW/nF+8uZWvdmZ63Nadn+xk4eIkjzE9mcVi54kfDhDvYaVyu9NFamE11XU9ZxHW1pzf+RUWHv0umYR041zGJ77fx8gH43l1tXFJrFEN7fXxb40rMjS2+0OHjMv+zHhyFZMfW2H4OsBfv9jDcyuMt2GzOfkyIZOkTONztTVqbU5SC6taLBfWXZxOztcqTy/qum7Vdb35b3s20JiF+hNwxmnsW4geZ1NqMd8n5fJZQiZV1q5Vi68r2XC4gJfWpZFRVstlr2w1jHthQxoAxRadOz/coYxp3uky6oCd//wqGqc/PLMmw3B/l766lR0ZZSz8Zj+p+eXKmCte3cTy5EIW787htg8SDLfVk133zjY+2XGcvy3ey7bUImXMsv15/Lg3l893ZOJ0dc3UmJPVmvP7qte38sXOTH77QSIVFnXM+9uysLvghTXpytcve/EnGrt3HySoa5EObdbWL/4oTRkz7pFlFNXYqahzMvwB9blx8csb+S4pl/9sSOPx75OVMQ98t59X1h7lni+TSC2oUsa0xuLELH7cm8d3e9QTY7objzdXNU17xegl4GSzUMOAxukTFcB4xf5uB24HGDy4+0ydFqItNF6QbQ4XVruLYFn8WymloKLpcWs/l5Pz1J2h1sgsbl1H2NFwMDqQVWZlRD/3mMJmdeuyGsoD9TaNRb5duk5mSS2zR7jHNJbHsdicOFwuzKbunwPZmvO7tqFGp9OlU26xERrwvzlxJSXGs18bZRS3PFO6NadNrf1ElNPgB8qq69+TrkNaiboUVknDSJ/D6aKoqo4Rp1BpQdf1plHQnlKSqqWRr1uBZGDXz/4lAid7b6QcaJwOEdLw//+h6/rbuq7H6boeFxWlXv9GiJ7q7FFRTBwQyvyx0UQFt2I6Ui91+zmjiAn1xaTBdVNjDON8m82y2vSAutzPnWcOUj5uLqVZ3qCnldd+NyeWQB8T0weHce5YRc8LeP+WGYT6e9Mn0Jv/3jrLw9Z6rmeumcjgiADmjY7iFwbrk104vi8TBoRy6aR+PWbySWvO7/svHs2giACumz6QIQ2zWZvr06cPAQ1TdMP81WMnyR6S7Bs1z4WNdt8NAJ//7sTNqVdumKCMefPmqUQG+TA4wp+3f61eI++Bi8cwZVA4108fyOwR7qWDWkPTNC6bFMP4/iFcMsn4nO9OPCbca5q2FnhY13W3sX1N09J1XTeernMibj2wAJgE3KHr+h2apv0H+FDXdcNxd0m4PzmScK8mCfdCdD5p56I3aMuE++sA5apoLXW8NE3z1jTtJ2AysBLwBqyapm0CXJ46XkIIIYQQPVVLC2rMBQYCrwNomrYDaLwfuFDX9a+NflDXdTv1I17NqbNehRDsSCvhw60ZDAj3Z9GFY/Dy6n1rICekF/PHT3aj6/DKL6cwd1S0Mq5xpDfYx8z+Jy7yGAPGI6BnP72azIr6DIrRUf6s/Nt5bjE1NTVMfGo9Lh2G9glg3X3nKrf17qY0vt6VzZiYYF76xVTjN9nL/XvVYT7Yepwwf29W3j2XgIDuv9ZXakEVr6xNJdDHzKKLxxAa4L4+W1aphTWHCogO8eOi8f0wmdxvYk/8+wqqrE6PJbGGLYrHRf3ipceedo85evQo5793pOn/qra/9lAev/uofiZkdJA3CQ9f4BaTUVzN//tqHw6nzj+vnsC4AaFuMSXVdSxPzsff28ylk2Lw8+4Zt4g7QktX94XAD83+7wvMAOYBd7bTMQnRK/24N5fSGhv7sys4kFfR8g/0QK+tPUa11UFNnYNX16YqY+75/MTtqypb66adz3pqpfL5xo4XQEqROgH+yeVHmxL700sshvtYsiebKqudnemlpBVVt+q4eqMvE7OpszspqLTyaaLnZTm6i/jkPAoqraQV17DFoCTUruNllFnspORXUdBs4kVzVdb69uwCPtzkPguxoqKiqRyQURL8FR8eUb/QzJ8/O3FDq7BaPaHkq13Z5FXUUlRt5dMEdSmjfTkVFFXVkVlqIb1YnXAv1FrqfPnoup7V7P+bdV0v0XU9EzBI0xNCnIpws/OmAAAgAElEQVTpQyLQNIgM8mFYVFDLP9ADXTShLyaThsmkcdEEddL67+eMbHrc2rHBhxaoV99uPubia7Cx38w5Ueg30GBFcYApg+ongMeE+TPQoBi2gKmDwtE0DV9vMxeMU/+Nu5sZQyLwMmkE+pqZOMh9hAhgeFQQmgZ9gnwMKxc0b4LXTnGfdBYaqt52cw9dMKrFmKumnEha9zKYRXL2qCh8vMx4mU3MMxiBHhYZ2PS+PZXCEu5aSrhP1XVdMREYNE07puv68PY6MEm4PzmScK/W3RLuq6x2/L3MvfKWY6PiKgsOF/QLNa77V1FRwdKDJfx6trqGYqO7P07gvnP6eVy65uUVBwny9+G2c5SXOqD+1uPmtAounNjf4/4KK2vpE+iD2Sy3X5r7eTs/XlxDVIBPj7jl2Kja6sDHy4SPh3O3zuHE22RS3nJstGRXJgtGhRMcbLwkw6fb0jy2/aNHj/LY6nw++9Ncw5gj+SVsOlzMbfNGG8ZU19pwAqH+xmWubA4XZpOG2cN76i3arLyQpmmfAut1XX/nZ8/fAczTdf1Xp3WkHkjn6+RI50utu3W+hOiJpJ2L3qAtZzv+H3CrpmnrNE17oeHfeuC3wF9P7zCFEM1ZbA6W7M5hz2mW4egMxdV17M0qb1okUiWvvJYHvtnLd3uyPW5r9j9XM/MpjwU0mPWPVcQuiueJ74zL9Dy2JInYRfFM+ftyj9sa/8hyJj7quYTKwdwKvtmV5bHyQK3Nyd6scoqqjBe51HWdlPwqUgt7b05Yan45C17YwN++UE6k75JSC6tJya/CaLDCZnPy5vpUvkrMUr4OUFFr45WfjrL6QL5hzMLFu4hdFM+C59caxtz+UQLDH4hn4ZfGv78Jjy4jdlE8D39jHPPST4e567NdhivpA6w9XMjK5HxcLpdhjDg1Hjtfuq4X6rp+JvAkkNHw7wld12frul7Q/ocnRO/x+rpjfLEzk+dWppDlIbG7q7E5XHy5M4u1hwtZnqwuZwLwh/8msnRfHn//4QBH8iuVMXFPrSKv0kZhtZ0pj6uT5J/4LomCqvoPjPe3G5ca+WhH/WvlVhcLF+9Sxox+eBk1dhdVNifjHlF30oqrrfxz2SEWJ2bz4mrjZOblyXmsPVzI4sQsbA71h9X+nIqm0jm9tQN25X+2kVpUzTdJubyvSCrvalILq/hxby7L9ueRnKNut8+tSuHj7cd56acj/JikbpMPfJvMl4mZPLH0IAdz1BNqFu+u75ilFteyJDFDGbPqUBFOHRbvUdfG/NPHCVTb6juJn+xUx3y2I4M31qez+kABN727XRmz5lABb204xvtb0vk+yfi8FqempaUmANB1fS1g3BUXQpw2m6NhppOuY+tG3zRduo6rYTqgw2gKFmBzuhriMRwhsztO/Lzdqf4dlNeefN3LcoNv983rBhrVELQ7dBoPxe7h/TW+d5dLx2UwQtL85x3d6G/clpr/Cqvrun4N0+Z/M7vB38zqcDZ7rI5pPL91DzHNqX435eUtl8mqbMX5UVPnbBrFM7rW1NlPPN/8/Ym20arOlxCi/d15zgiW7MlmaFQQw7vRbEc/bzNXTR1AVqmF8Yq1gBq99IspvLAqhRlDI5g8OFwZs+X/zWHWs5vQdVjzf+pk4X//agbLD8RT64Bzhqm3AzB9YAi7sivx0uDt356hjFl771mc+8JmNA0SFs5RxsSE+XP3eSM4kFfBlZMHGO7voon9SM6uYFBEgOF6R40zIr1MGqNPocZdT/DGjVO57+t9DI8K4i8LjJO9u4ox/YKxOVw4XDpTBqpLGt9/4Wj8vMyEBXpzfZy6TNXjV0zgzQ2pjOkXwrQh6nYbNyiExKxKQnzN3NxsVm+jsLAwRkcHkFJoYcbgEMUW4JPb5zB8UTxOYOYQdcwfzh7O0YJqMkpqeO66ycqYiyb0xWJzYHPqXD9toDJGnDqPCfedSRLuT44k3KtJwr0QnU/auegN2jLhXgghhBBCtCG57ShEF/Hgt/v4dncOgb5exP9ljsd1rjpKRa2db3Zl43TpXDm1P9HBfm4xLpeLfyw7TEp+JZdP7s8vZqjX1Ip7ahXFDatpJyyaR3SY+zrNd3yYwMrDRQCcOTSMz+5wvxWYWVzB2c9vBsDbBEf/qR7dHPvwMmobcsi2Ljyb/hHut/neWneUZ1fVJ9E/dOlYfneW+9pJLpfOD3tzyS6zMG90NBM83FoVLRv3yHIsDflE7940mQUTuvYtrawSC0/FH8Th0rnvwtGMiXG/lffCysO8sSENs0njvVviOGuk+wKp1/5nC7szyzFpsPKeOYzo534Ls/kdjN0LZxMREeEW01iCKCLAm92PupcFKq2sZcbTa3HqMDDcn833u5fMKqys5fb/7qbcauOe80ZytdxW7HAy8iVEF7HmcCEuXafKaufHvV1jdlF6cQ0VtXaq6xykFqhn5xVX20jOqcDu1Nl4pMhwW8XNypg8uzJFGfNTyomf356uTi5+YfXRpsd2D3nLtc2S919ee0wZ81liFk69Pgn80+3qUjfltXbSi2uwO3UO5PbOsk9tydLsj/ZkvLoddCVb04opbzgHNqWq2/eSpBxcuo7d6eL9zenKmH05FejUt7W3N2a0uN83t7rPVLRarU0liMoMJpF8vCOzaVJDTpm6ZNbGo8UUVVuxO1zE7+8a15reRjpfQnQR88dEY9I0Qvy8uXxyTMs/0AGGRgYSFuBNkK8XIw0SxCODfJgwIBRvs8bZo9y/8Z+IO7Ga+cIL1YnWC0af+PkzhqqTm/92/olEZG8PV7CAZknv95ynLsZx86whmLX6IsW3Nisj1FyYvzdDIwPxNmsy6tUGApr90R65tOsn3J85IpLwAG+C/byYO0Ldvq+eMgCTpuFtNvG7s4YqYyYNCEWjvpzP7WfHtrjfBy+b4Pacn58fwX717ToiUF0d4OZZgzE3LDY/IFxd8ufc0dFEBfvh7WXi0old41rT20jCfQ8hCfdqknAvROeTdi56g5NJuJecr04mnSYhhBCid5HbjkJ0EaXVNt7blMbaw4WdfSgn7arXNjL6oWX8a/kBw5jknHJu+zCBNzekGsbY7XZu+3Ant7yfgMVD2ZNHvtvPghfWs+agcamW1IIqHvp2H9/vMV4F3+XS2Z1Zxp7MMsPSMQAZxTVsPVZMdZ3DMEa0zor9uUz6+wqueGVTZx8KACn5VexIK6HOYCFRp9PJv1el8MyyQ4aLA5fXWLnr0108vGS/4X5yymp55Lv9fLr9uGHM62uPMunvK7jtgwTDmOScCt7ZeIwjBVWGMcdL6turp3JYLb1v0b5k5EuILuKNDansy65A0woY0ieg2yy0unJ/LknZ9R8Eb2zI4P6Lxyvj7l28l7zyWnZmlDF7aB/lQqt//Wofm47WJzX/5ask3r1lhlvMjrRiPkvIQtd17vkyieTHL1Lu7+Hvkskqs7DxaDHThoQxKMJ9duX+nAo2NCT5e5tNypyuKqud75Nycek6hZV1XDXVeKFV0bK7v0jC7tTZl1vJv5Yd5P5LxnXaseRV1LKsIeHcYnNy7phot5j3Nmfwze76eqSaSeP+i8a4xdz39X62p5UA0C/Ejz/Pd18g9bEfkjmUV8m6lCLGxqgXWn1+1RF0YE1KEXszS5k8+H9nO7pcLp5bmYLV7iQxo4y3fuN+h6umzsH3Sbk4XTr5FVauUcxkbM37Fu1LRr6E6CJ8vOoTaU2aho+p+5yaIf6t+w7nY65/TyYN/H3UK8AHep/Ylr+P+nfg722iIZ8YLw+/J2+vhv2Z6hOhVbwaM5PBMMZs0mh8yShGtJ7pxK+cID910nhHMZs0tIbjad4WmmveVv291O22eUWDQF91TOP5rQF+Xup21PwIVJsxmUx4Nxynt8E2TJqGueGX7KlNt/S+RfuSkS8huoi7zh3OyuQgYiMDGNSn89f4aq3ZI6K5YnIMG1IKefJK9agXwDu/ieOVNUc4c0Qko/qpy548e/1kvL1MOF0unrlWXfZk0qAI7rtwJD8dKuLxK4xHTV64fhKfbM9k5rAI+oWqZ32N7x+Kt9mESYMR0erZnAE+XtwQN4j8Siuj+/XOkkBt6fs7z+D3HycxsX8Id53nPkLUkaKD/bh22kAqau2MVazfBXDz7FhMmkadw8Uts9Vr2L14wyT+sewwfUP9uFWxVhzA09dM4KMtxxkbE8w4g1mz//n1VB5fepDLJvRjzAD3Nb4AHrtsPDvSS5gzIlL5ur+PmevjBpJfYWWUwQzl1rxv0b46dLajpmmxwA7gEGDTdd19hbgGvWW2oyTcty+Z7ShE55N2LnqDrl5eaLWu6/M8dbyE6K3yymuxWrtfUrfT6aSwUr2gY3MVFhsOh4eVUVvJ5XJRYbG1GGe1Oz0m0ovOcby4xuOEiq7G4XRhd3put2XVNqprPbfJkuo6bAZJ+6J36YzbjudqmrYJ+FbX9Rc7Yf9CdEkPfbufH/flEuBjZsmf5hATpr5V1tXYbE5ufH8HeeW1zBsVxT+umaSM+3THcX5IyqVfqB//umYifj6ndvmxOVws+mYfOeW1XDShH7fOUS9quSOthK3HSogJ9eP6uEFNeTCic/3x412sSynEx8vE0j+fxZBI94kQXUlxdR1fJWbj0nWunjqA/orzcsnubF786Qg+ZhOv/HKq8rbiKz8dZfGuLEL8vPj4tln0CfLtiMMXXVRHj3zlAaOAc4EFmqb9z1Va07TbNU1L1DQtsajIuEyJED1RQkYpuq5TU+dgs0EZk64ot7KWvPL6Ua+kbHVJIIDdx8sAyK+wklNhPeX9FVRZyWncX5bx/lKL6ssh5VVYqe6Go4k91Z6s+mU96uxOVnlYKqSryCq1YLU7sTlcZJTUKGM2HC3C6dKptTvZnFqsjNmRXoKu61TU2knKKmvPQxbdQId2vnRdr9N1vUbXdQewFJjws9ff1nU9Ttf1uKgo4zIlQvREN84cRICvF7GRgVw+oX9nH06rxUYGMXNoH4L9vLl22iDDuCsm9yc8wJu42AiGnsaEgkHhAZwxLILwAG8un2RcGmXW0AjCAryZPCiU0IDOnVUnTvhF3EB8vc30C/Xj13HqBPauZFTfYAaE+9Mv1I/xMepE+ZtmDqZPoC+DwgO4aqr63P3ljEGE+HszNiaEucPl86236+iE+2Bd16saHn8CvKrr+g5VrCTci7YgCfdCdD5p56I36MoJ93M1TduladpWINeo4yWEEEII0VN1aMK9ruvLgGUduU8huouccguf78hiaGQA1043vn0n4HB+JZklFqYPCZfE5W5G2rmxwiorSZnlDIsKNFx3TvQMssiq6NHa6rZuR9y+fGdjOofyKtmZUcr4/qGMkcUPlarrHKxIzkfXodxi54YZ8gHenUg7N7byQAHFVXUcyqvij/MC8DVYUV90f1IrQ4guIjLIBwAfLxOh/pIgbsTbrOHfUM4l2E++P3Y30s6NhTS050Bfs8fSWaL7kyuXEF3EH88ezsQBoQyOCOg2a3x1Bl8vM7+aNZjCyjpiu1EZJlFP2rmxSybGcLzEQr9QP1mXroeTzpcQXYSXl4lzRkd39mF0CyF+3oR0clFmcWqknRvzNpsYER3U2YchOoCMawohTpvd6aKkuk5K+YgeqbrOQaW1+5RDEl2fjHwJIU6L06XzRUImxdU2Jg8K5bwxfTv7kIRoM/kVVr5KzMKlw1VT+zOkT9cuhyS6Bxn5EkKcljqHk+Lq+oLCOWUtF9cWojvJr7TicOm4dJ280yiLJURzMvIlhDgtAT5ezB0ZSVpxDbOGRnT24QjRpsbGBJNbXovd6WLSQHV5ISFOlnS+hBCnLS42grhY6XiJnsfXy8wlE41riApxKuS2oxBCCCFEB5LOlxBCCCFEB5LOlxBCCCFEB5LOlxBCCCFEB5LOlxBCCCFEB5LOlxBCCCFEB5LOlxBCCCFEB5LOlxBCCCFEB5LOlxBCCCFEB5IV7oVohdhF8W2ynYxnLm2T7QghhOi+OnzkS9O0FzVN26Rp2ssdvW8hhBBCiM7WoSNfmqZNAwJ1XZ+radobmqbN0HV9Z0ceQ1tpq5EQIYQQQvQuHT3yNRv4qeHxT8AZHbx/IYQ4aetTCvlk+3GOl9R09qEIcdqcLp3l+/P4PCGTwiprZx9Or9TRna8woLLhcQUQ3sH7F0KIk1JaY2NPZjlFVXVsTyvp7MMR4rRllVo4nF9FfoWV3cfLOvtweqWO7nyVAyENj0Ma/t9E07TbNU1L1DQtsaioqIMPTQgh3AX7eREZ5ANAbJ/ATj4aIU5fVLAvQb5eaBoMjpA23Rk6erbjNuAOYDGwAPiw+Yu6rr8NvA0QFxend/CxCSGEG2+ziRtnDaHW7iTIVyaIi+4v0NeL386Jxe50EeAjbbozaLresX2chlmO04C9uq7/2SguMjJSj42N7bDjEqIzZGRkIO1c9HTSzkVvsGvXLl3X9VbdUezwLq+u6/e0Ji42NpbExMT2PhwhTtvqA/ks3pXF2SOjuHl2rDLGaneyJbUYf28zZwzrg8mkARAXFyftXPR40s5Fd1Frc/LYD8nYnC4eu3Q84Q0pB80ZXc81Tdvd2v3ICvdCnKYXVh/hYG4lb29Mo7rWpozZmVHKvuwKdqSXcqyouoOPUAghRGu8szGNLanF7Ewv5dV1R5UxbXE9l86XEKcpPMAbqM+j8PcxK2PC/Ou/PZk0jWA/7w47NiGEEK03pE8AmlY/kjU4IkAZ0xbXc8m0E+I0/efG6fx0uIAzh0diNqs7XxMHhhIe6I2ft5nIIN8OPkIhhBCtceXUAfQJ8qHO4WT+2H7KmLa4nkvnS4jTFB7kw/Vxg1qMGxiu/hYlOpbU6RRCeHLWyKgWY073ei63HUWvtTW1iL2ZnhcYXLE/h3u/3OMxprjCwt2f7SI5s9hjXHpRNQWVspq0EEK0h+PFNXy2IwO73W4Y89SP+7nq1Q0et7P7eCk7jrXvgsoy8iV6pRdWpfDR1gw0DZ66agKXTx7gFvPDnmz+8uVeAFYdKCD5iYuU25r1zDqcOvy4L5+Dj55LQID7N6KVyfl8sDUdL5PGo5ePZ1Tf4LZ9Q0II0YvllFq49NVN2BwuPt6eyfJ7znaLuevjncQfKARg2KJ40hSj118mZPKPZYcA+OM5w/nTuSPa5Xhl5Ev0SvuzK9B1HZdLZ2dGqTJm+YH8psc1NqfhtpzNlsrLqlLPdjxaWIWug92py2xHIYRoY4fzq7A5XADkV6jvMGxuNprlMtjO7swydF1H13WSssoNok6fdL5Er7TwotEMjAhgRHQwf5k/Uhnzxk1x+Hub0ICrp/Y33Na4vkFoQHSQL6P7hiljrp02kDExIcTFRnDuqJbzCYQQQrTe/HF9mT4knDB/b/549jBlzJI/zWp6PGtIqDLmb+ePZlhUEEP6BHL/RWPa5VihE1a4b624uDhdFuUTPZ0sPtnxJOG+40k7F72Bpmm7dF2Pa02sjHwJIYQQQnQgSbgXXYLF5mDt4UK8TBrnjemLj5f6e8FtHyaQUWzh7vkjuGrqQGXM1tRivt+by/Qh4dxgsATE0r05/G3xXswmjR/ums2IfurbhVMfX0W1zc7NZwzm0csnKmPSiqrZnVnO6L7BTByoHsqustpZe7iQAB8vzh0dhZdZvvcIIQTA8ZIadmaUMTwqkKmDw095O8MWxeMCBof7sfH++W6vl1bWMue59dgcLv54zjDuu2jsaRz16ZFPANEl7M2q4GhBNYfyqjiUV6mMWXUwn4T0UgqrrLy6JtVwWx9vP05GcQ3f7s6mwqJOgH/kuwPUOXUsdhd/+nyvMubhJfsoq7Vjd8LH27MM97f2cCFZpRbWHC7A4VSnce46XkZaUQ3JORWkSsK9EEI0WZ9SRFaphfUpRVjtxpObPLnrk8SmJPrMMnXC/V2fJ1Frd+HU4Z1N6ad4tG1DRr5El9Av1A+TpqFpEB2iXjF4bL8gfL3N1NmdxEYaL3A3OCKA0hobUcG+BPqom/jw6EASj9fPZDlzWIQyZv6YaD7dkYXOiRJCKjGh/lRZq4gK9sXcUGBVFZOkleNl0mSF+x5CcseEaBv9Qv0orbERGeSDzyneFbhsQjTxyQUeYy4YF8229PrZ7X0UBbM7kiTciy6jwmLHZMJjrays0mqSs6u4eFKMYYzL5eJwQRWDwwMJ8jP+fvH2hlSiQ3y5aqrx6vSbjxawJbWU+y82Hp52uXSKa+oID/DB28OFo9xiw8tsIsj3xDFJInLHa6tOU1vpDZ0vaefCE13XKaquI8zfxzDlpDW+STzOJzsy+fCmSYSGqlNAfkzK4mBuFfdfMu6U92PkZBLuZeRLdBmhHkaXGg2KCGJQRJDHGJPJxLgY9YnX3O3ntLx43lkj+3LWyL4t7E8jOtivxW2FBXTuNy0hhOiKNK1119CWXBs3hGvjhniMuXzKIC6fctq7Om2S8yXancPpIr24huo6x2lvK35fDou+2Ut1jTqXCyAxNZ+5z6zhrfVHPW5r/vPruPY/mz3G7DhWwpsbUnE4jI/d5nCRVlSNxXb6708IIXqb4morr605ysHcCsOYe79IJHZRPE8v3W8Y89XOTG5+dzv55cZl3EprbGSWWE7reNuCdL5Eu1t5oIDv9uTw+Y5M7AYJ6a2xI62Ye77Yy+LEbC58bZNh3HXv7iKr3MrTK46Qmq9Obh/7yHKOFVvYlVnB/OfXKWOSc8q549NdvL42ld9+tMtwf0v35fJ9Ui5f7syiq97GF0KIruqmdxN4a+Mxbnk/gWqr+kvst0n1+Vxvbc5Uvp6QVszCb/azKbWE815QX9PLamx8uv043+zOJiFdXdmko0jnS7S78tr6UaoamwOH89Q7J2lFNbgaOjdVBifoz2WUVCmfr7Of6ATmGxS7ziipwdnQWSyuqjPcR0WtvemYnC7pfAkhxMmobLiG1jlclFncr8d5eXktbuNYYTWNV986h/pLfnWdA0fDNbrcYCZ8R5HOl2h354/ry9iYEC6a0A9/H/Mpb+dXs4YwIzacyCAfHr/MOFnyzOHhDeV+vFkwXp2Y/8w14wHQgJX3zFHGXDZpABeM78eI6GAev3y84f4uHN+PsTHBXDIxRtbvEkKIk7TwovqSPjedMViZ0xsTE0PjPHKjRPVfnRHLmH5B+Hub+PM8dXmhQREBnDUykgkDQjlzRGTbHPwparfZjpqm9QeWAuOAIGAgsAM4BNh0Xb/A08/LbEfRG8gssI4nsx07nrRz0Rt0ldmOpcB8YEmz51brun5TO+5TCCGEEKJLa7fOl67rVsCqaf+z6OS5mqZtAr7Vdf3F9tq36Bgul4uX1xwltbCaX84czNyRUcq4/25N54udWYzrH8rz109WxsTvy2Hh1/vRNPjo1plMj3Vf+DQvL4/ZL+8GwAwcMxgxaCwxAcajCnd/ksiPDQvyPXH5GH4zZ7hbjMPh4rlVKeSU1/LbM2OJUxyTEEIIY4kZpXy4NYMBYf7cd8FovBTreDUfjTa6Zrcm5sKXNpBbbuX6aQN59ArjVJGuoCMTVPKAUcC5wAJN0yZ14L5FO0gvsbA9rZTiahvf7ckxjPsyMYuKWjvbjhWTUayeffji6qPU2p1YbE6eXn5YGXPhm3uaHnsqQNE81fLFFcnKmKXNVkL+5/IjypgDeRUkZZVTVFXn8f0JIYRQ+25PDkVVdSRllXMgz3gpiUbzn1vp9lxRUVGLP7cqOY/0ohrq7E6WJHX963WHdb50Xa/Tdb1G13UH9blgE34eo2na7ZqmJWqaltiaX7boXANC/egbUr8w3uRB6sLUAJMG1L/WN8SP/iH+yphzR0dh0jRMmsZF49SLmv7hrNiTPsab4/opn+8fdqLEz1nD1SNasX0CiQj0QdNgiof3J4QQQm3KoDA0DSICfYjtE9hi/MsXD3B7LipKfVeluWlDQglomNA1MtrzQtxdQbuXF9I0bT2wAPDXdb2q4blPgFd1Xd9h9HOScN89OBwuKq0OIlqok5VVWkPfID98PMx2PJpfhbdZIzbK+MT5aXce3x7I4j83z/S4v4WLd7HwvCFERhrPaPlhTxYR/mbOGtPfMMbmcFHdivd3qiQRueNJwn3Hk3beu5VW2wjy8/JYOmjmk/Hce9kQfjnVbVwGqB/9evqnDP79qxmG27BY7KSXWRg/oOUKJ+3hZBLu23O2ozewHJgO7AY2AlcAdcBmXdcXevp56XyJ3kA+lDqedL46nrRz0Rt0idmOuq7bqR/xau7x9tqf6BxFVXUUVFoZ1TfY8FtNYWUtX+7MZvawCOKG9jHcVuOHoqcPo3GPxGOxwyMXjeS2eaOUMf9cmsy7m48zZWAw3/75bGWM0+nk4+2ZBPl5cd1048LaQggh1Gw2G3d/sY/oEF+evGqiMubV5Yd4YUMaYHxtv/3D7aw6XEKEv4ndj12sjFmXUsCXCdn87qwhzByqvqNxOK+Sw/lVzB8bTbBfy7WCO5OsCClOmcXmYHFiFqsPFvDToQLDuL9+uZcvdmby/77ZR1m1elXh5qMRRiMT176+EUv9Qsg8ucK4buPbm4/jAnZnV7EhJV8Z8+KaVN7ZlMaLq4+wZHe24baEEEKoXfdWAqsPFfDpjkwe/1Fdc7Gx4wUw+e/qa/uqwyUAlNa6+HDTMWXMnz/dw9rDBfzBoNRbabWNfyw7xOcJmby4Wj2JqiuRzpc4ZU6X3lQuyGZQzgHAaq+fm+hy6dhdnuYpelZSbT/pnyksr1E+X209sa0q68lvVwghejuL7USZt0pLy9d2q3GVtiZ5imu23W5vKi3nMCjhZne5mj6PGj9zujLpfIlTFuznzeWTY5gRG8H8sdGGcU9dOYG5I6L42/mjiTaY7fj2dVObHm/9y1RlzPr75zc9nh1rnFA5bWAwAGF+Zq6f5b5+F8D/O38UF47vx9XTBvLrWYMNtyWEEELtw1vjGNU3iBmx4bzwiynKmNGRfk2PU55W33aMClH4rkYAACAASURBVDwxEeuBy91XofL29ube80cxum8wj16qLi3XN8SPP507nHNHR3PXeSNO5m10inaf7XiqJOFe9AaSiNzxJOG+40k7F73BySTcy8iXEEIIIUQHas/ajqKD6brOsv35HC+t4eyRUUw4jbVOXlt7hBdWHUXT4OFLxvK7ue5V4osrLMx8eh0uYFCYH5sWzXffEP870rD29rEMG+a+rVEPxGNrGITtF2Rm+8MXucWs2JnDH79Javq/0YjB/32ZxLqUQob2CWTJXXM8vU3RzXS1USshuhqHw8VTyw6RVlzNddMHcsVk90VL6xxOvtuTQ7nFzsUTYhjcJ8AtZuGXe1i8JxeAM4eG8dkd7tfS5uejL5CiuCY3j7n7rCH87TL3dby+3JnJ0n15TOgfyv0Xj2nV++zuZOSrB6m0OjhSUEWd3cXe7PLT2tbH24+jAy4d3tucrox5bf2xplI+WeXWVm331sWpyudtze5+51erkyXv/SFJ+fzPbUktxul0kVpYZVjOSAgheqKciloO5VVSZ3ex7rC6UkxeuZXccisWm5MDueqSP98k5TY93pbe8udJK3LpeXXzceXz6w4XYnO42J1ZRqnBjPieRjpfPUiwrxdDIwMxmzTG9z+9FX6vmToQDdCAX8wYqIz53ZzhNJZNjw72Vcb83Ac3qBMhmw/BhvtrypiHL1EnWv7cjNhwNE1jSJ9AYiO7fpkJIYRoKwNC/RkRHYTZpHHWCPW6iv1C/YgK9sXHy8SYmBBlzILRJ0r6TBwQ3CbHdvPUGOXzZ42IxKRpjO8fQlhA77ghJwn3QnQiSUQ+OT3xtqMk3AvRM0jCvRBCCCFEF9U7xvd6kaxSCznltUwYEEqQr/rPm1ZUzYdbM5g5NJzLJrknYwKUV1m56s1tmDRY9ufZ+Pn5KeMaRyLGRvmz/G/nKWOm/j2esoaUMKNv+QkZOdzwZn1O15a7pzBggPq4LnlpA+nFFp68cjzXzVCvz3Uwr4IvErI4Z1Qk88f2U8Y4XTp7s8vx9TKd9i1aIYToKIVVVtKKahjVN5iIQB9lTFaphdyGz4FAg8+BiY+toKbOyeu/nMjFU9yvpbt27eLar+orhDx8VT9+f8Z0t5gnl+zhvR31uWFG1/b/bjnG40sP0yfAm4RHLlDG5JRbWJlcwPQhYUweFK6M6Wlk5KsHqbXVz2DZdqyElcnqsjoADy3Zz5pDBTy7IoWsUvUK8Ne8tY2MEgtpxRauenOHMuacZ1Y1PT5UVGu4v7Jmufg3vLZBGdPY8QKY86o6sf5fyw9wML+aWoeL+75Rl7IAePDbZNYcKuCJpYeoqFUnb+7OLGNDShGrDhSQWlhluC0hhOgqdF3n29311/jvk3KUMTV1DpbsyWHrsRJWHVR/Dlzw73VU1TlxAXd+ob6WNna8AJ76Tr2dxo4XGKcEPPrjYZw6FNbY+f0H6s+SF1YeYeWBfJ5fdYRqq0MZ09NI56sH0bT6fwBmkzppvf61+j+7Bnib1U3Aq9nzPgYx3qaTbz4BPqc+2OrbbH+a8dvDq+G9axqYDWJMzTZg8rQxIYToIjRNw9xwvTK6xmsaNL5kdG0zuqa3N39v9RXZbD5xzT6Fj5VuqZe8zd7Bz9vM9XGDmDc6igvHq2+3ATx//SSumjqAJ66cQL9QdbmfH+6cxaQBIUweGMoPd89Vxvy0cEHT43OHGw8VDwk70eH68Hb1ultb7j5RmsJo+PqvF47ljNhwQvzMfHCLcU7j89dP4oopA3j6qokE+auH5acNDuOC8X25fHIMw6JkRqQQonu4bvpAzhkdxZVT1KkZAT5eLX4OLL3nHKKDvPE2weI7Zipjml+Hv7levZ1nfxmrjG/unV9PxscMsRH+vHqT+rp93wWjuWrqAB68eOxpfUHvTmS2oxCdSGaBnRyZ7dg9STsXvUGPnO1od7roqh3FttCa9+d06TgNKro3crlc/1Np3khSeiE1Nep8r0Zvrj7Am6sPeIw5ePAg932a0OL+Xl19sMWYzGILmcUWjzGtfX9CCNFTtZQXVVRUxNcJ6sWxGy1dGs9V//b8ZWbx5jQWb07zGFNeY8XawvH09M/vU9EtxveScyr46VABfQJ9uGHGIHy9jDJ5uqfdmWVsPFJE3xA/rp8+8H/yrRoVV9fxVWI2Ll3nuukD6RviPvvQ5nDx0JL9ZJZauHRSDL+ZHavc37hHlmOx169Nv+7eeQyNDnSLaT7C8MyaDOW38398l8Q72+uTPr9aFG/4Db5xWy+sSefbP01j2mD3hfZu+yCBNSn1qzH/dvZg/n7lRLcYi83BA9/up6DSyvXTB3Lt9EHK/QkhRE/1VPxB9mdXMGtoBPdeMNrt9c0Hi7jpv/VfiP8/e/cdHVdxNnD4N+pdspptucm9F1ywTbMNpoQWSKiBUENN8gGBECckARJIML2GAKGbEjrGNrZx70VykSVblpt6b6u6Wu3u/f5YSVasuSvZSKv2Pudwzmr33Tt38ezduTPvzDz01X7tdbn59T3e5No95k9LsTZsYfLwkgPamLc3HuWVNYfw9vLirZumMXVIZIuYnv77faq6Rc/X4cIqDAOKq2yUVve8rQcOFVRiGJBvsVJhcgeRUVKNtd6Bze4kvVjfY1VQaSWz1NVzlJhRZlpeY8ML4OMd6ad83o0Nr5Px1FL99kJbj5Y0PV6clKeNSS+pJt9ixTBgR7r55xNCiJ7I6XSSnOPaDmiPyRZy/1zpfrSirazO1mNWHSjA4TSw2R0sM7lu9/Tf71PVLRpfpw2OIDzQl5F9Q4gN1a831Z1NGxJJWKAvY/uH0SfIVxszqm8o/cIDiA3zN90OYkB4ANPjIwkL8OHiCfptHFxxrq2AvBTcPy9eG9N8s6BQk/7RZTcNNS3DzGf36JP3b549pOnxQ+eP1MaMigll0sBwwgN9uXiC+YQCIYToiby8vDh/bF/CAny4aLz+Gv/eDeObHpv1MQ1rOdjRwpCI479FIfp5S9w0K57gAB+iQvy5sdk1vLme/vt9qiThXohOJInIJ0cS7rsnqeeiN+gSCfdKqTil1C6llFUp5dPw3AtKqY1KqZc6qlwhhBBCiK6sTQn3SilfwzDqT3gu2jCMYjdvKwXOA75uiJ8KBBuGcbZS6nWl1AzDMHae6on3JJaaehIzS4mLCGRMP/2QYlFFHVf+axNOAz67+3QG9tHvMj/xr8uptDk4Z3gkH9wxWxsz5bFllFtdPZ5md90LFyfx+pYsAP56wXBuO3eMNq6xJ2JoZABrHz5PG/Pnr/byaUI2w6KCWfngXG1Mjc3Oh1sz8PX24qZZQ/Dx6RYj4kKIk5RXXst/E7IYGh1sulZVUWUdSdnlxEcHM1zW4fsf5z6zhqMltUyKC2Px/+nTOJr3ELc2ESo6EBIebRljtzv5YFsG9Q4nv5w9RLv+Vp3dwfajpQT6eTN9SB9UBy5YnVVaQ1pBJePiwuhvsj5ld+K28aWUmgd8CPgrpXYDdxqGkd7w8kpgqtl7DcOwAtZm/xizgVUNj1cBswBpfAGrUwvIKKkhKdtC//BAwgNb5n3d8t52sstd+/Tc9u4uVv5uTouYfy5JodLmAGDDkVLT8hobXgAXPreGFZo9GRsbXgB/W3lE2/i6/OXjWwUdK7W2eL3Roh3ZAKQVVbN8Xw4XTWx5wf0iMZs1qYUARIX4mV6Uhehp2mMotTsNXb618SgpuRVsPVLC6L6h2hzWFSn5FFXWkZJbwV1zhskMuQaVlZUcLXFt5ZaUW6GNaUt9ah5TbLIz3NLkPFakuLYVCvbz5kbN7Pmdx8qaJnf1CfJlRKy+U+DHMgyDxXtzsdmdHCuu5ldnD+uQcjypte6Fp4ELDcOIAd4EflBKzWp47WSbuBFAY22xAC2WRFdK3amUSlBKJRQVFZ3k4buvxo1P/Xy8TLd9aN7Sjw3z18aM6nfyd4inDYo46fc0GtPG8pp/ooHh+nOPDDqe0RllslmsEKL7C2+YVOTrrQgN1N//hzRcEwN8vZq20xEQGtp64yaynRaQan4djgzWX7dDAlyFKfXjto5rjVKKYD9XA9xso/DuprVP4WcYRgqAYRhfKKUOAF8ppRYAJ5upXw403uKENfz9PwzDeBNXI4/p06d3zZkAHeC8MbEMiw4mJtSfQD/9Hd5/bp7Bgi/2YnM4ef7a07QxP58+hDWpRaw7WMRr108yLe+BuUN5Yd0x+ob48NQ1+s7L9Kcuabo7MrurfvqaaexMX82xUisvXN1yXa5Gn901k99/kcQVp8UxYXC0NubSyXFEh/jj6+PFtCG9Y1d7IXqjX88ZwYS4cIZEBjEgIkgbc/HE/qSXVNMvPEC77mFv9uD8Eby7OZ3fXzhK+/quJ45fu88err+RbX59X/wL/XqJZ42MIdDPh3q7k1nDo7QxUwa5ZjIG+nrTL7xjZzJePX0QOeW1DI7U15nuxu1sR6VUAnCpYRj5zZ4bCCwBhhuG0WozXCm1DpgPTALuMgzjLqXUv4D3DMMwXRpdZjuK3kBmgZ2cnjjbsT109WFHqeeiN2jP2Y4LgL7NnzAMIxuYAzzVykn4KqVWAZOBFYAvrhywjYDTXcOrJ7E7nJTXtL6w3L7sciy17uPeWHeIV1YddBvz4abDzHt6davlTfvb97y03P2WP+cu/IELn3V/rHX7c7jrvdb/KctrbNgdbVi1TwjR4y3enUN6UVVnn4bHWWrqsdnNr4PFxcVc/MI6fkjJNY1ZtiOb6X9bzrZj2aYxN/x7das3Kiv25fLiigNuY2psdqrrZDu3jtDasGMwMBrYC6CU2g7ENLz2B3dvbJgdOf+Ep7efwjl2Ww6nwac7syiqrGPKoAjmjYnVxj3ydRLrDhYRFujLx7fPoo9mRbvLX97YlGD5zZ4cVj/UMkn+68RM/rLE1Tgz2zKi8TWAF9YdIyTQj9vnjDCNcXesdftzuOWDPQAMXbCUYyblrT1YyJ7McqJD/fnF6YPx9pIcDiF6q8tf2URyrgUfL8UXd89i0qCWW9L0RIkZpWxIKyY0wIcbZw0hwLdlisn0Z10/kXd8uJvl9/kxpn/LNI17v9oLwHVv7CX9qYEtXr/h36vZnO6aAGV27X511UGeXeXabeT97Vns/usFLWIKKqx8npCF04ArpgxgcFTPGO7rKlrr+XoYWNzsb39gBjAXuLuDzqnHqLM7KKqsAyC7zHzD6IP5rjvAitp6jpXotw5KLahsepxRqp+e8u5m9xup6vxn05GTfk+j97cenxHpLkEvu2HLo+LKOqz1jlMuTwjR/WWUuq5xdqfBmtTeM7Equ8x13a602imvqW8lGr5KaLl9W3a2eW9Xo8aGlzvLkpsyibDU6s8lz2Kl3mHgcBrklJtMiRSnrLXGl59hGFnN/t5kGEaJYRiZuHrFhBtBfj6cMTyK/uEBnDUyxjTuljOHEBsawNkjYphqkmz++GVjmx7//gJ9ouXi/zu+/IRPGzuXtj5yofb50dHHkydnDNSn9r17+6ymx3Fh5jMUzxoZQ//wAM4YHtVjZqoIIU7NrWfEE+jrTVxEAPfOOfktyrqrmUOjiIsIYMrgCPqazFj3bfaL/KfLJrd4feDAlj1dJ2pL/t97t0yncQDi0kn6bYrG9AtlRGwIQ6ODmTQwvNVjipPTWsL9YcMwWo5JuV47YhjG8I46MUm4F72BJCKfHEm415OEeyE6X3sm3G9XSt2hKeAuoFckzAshhBBCtKfWxoAeAL5RSv0C2NXw3DRcuV9XdOSJdXX1Dicb0oqodxjMHR2jTZ4E+DIxi73ZFq48bQCnDdYPKb6+7hBvrj/GkKggvvnNWdqY7/dkcs+n+wB47qoJ/Hy6fgf5xp6BiABv9jx2kTbmgufXklZYg48XHP6H/o55fWoBt77vulP96PYZzB6hnyyQmFFGTnkts4ZGEhsmO9YLIdxbtOUYz606RN8wf5bf33Knjq6m8VpvdxrMGaW/1hdWWHlr41FCAny4Z84I/DTbo72x9hAvrz1CVIgfGx5uOWEKYPiCpTRmxZr1Zo798zJq7Qbh/t7sfVx/jZ/06HIq6xzMHR3Nu7fObPG60+nkrY3HKKys45Yz4xnUR5LpPc1tz5dhGIWGYZwB/B1Ib/jvb4ZhzDYMo6DjT6/rSs2rJCnbwoG8CvZktVgvFoDSKhufJ2ZzML+Sd9wkw7+25ggWaz1JORa+TszSxvzmv/uaHv/+i2RtzM1vbml6XG41T2xPK3QlwNud8MgXe7Ux93y0C6cBTgPu+nCXNqa8xsaGtCKOFFaxLq33JM4KIU7dsz8cwlJbT1pBFa+sSevs02nVgbwKkrIt7M+tYK/Jtf6zhCySsi1sOVzC2oZt0k700pojVNscZJbW8s9l+mV+ml+1H/5vYovXy8vLqbW7UoUsdfpr/MLvU6ioc2AAaw/qt1/ecayMNamFJOdY+HhbpjZGdKw2LR1sGMYawzBeafhvTUefVHcQGeKHl1IoBdGapSEAgvy8CA9wbaUR52Yj0IhgV4y3l2LCAP12P7HNyogw2ZLjsin6xEl3zhqh740bEHH8fM2mGAf6eTdtAxITok8gFUKI5hqvl15Kcdqgrr+bRWTw8Wt9lMl1Lj7KNf/M20sxKEp/rY9o2FbJS8GM+NaX1zh3WL+Wx4hofTu4c5pN7jJb1WdARGBT79ygHrJifHfjNuG+M3WHhPuyahsOwyDaTcOjvMbGkaJqJg8Ix0fTFQ1gs9l4afURzhkdw8xh+u13AG56ayt2p5OP7zrTNOZPn+9i8b4CPrt7OuPi9DMsM4st3Ph2AtdOH8Svz9PPnAR46L+78PH24qmrppjG1Nhc06b7hwd06I72PZUkIp8cSbjX624J98+tSGXmsCi3s8C7krZc6/fnWQj182WQm/WwHv82mTNHRjN/XMuGFcDynTn85ss9/Oy0fjx97TRtzHeJ6fxz5WGeu2YSs4fr00G+2JnJF4nZvP3LyQQH6xcmyCuvpaTaxoQBMpOxvZxMwr00voToRNL4OjnS+NLrbo0vIXqi9pztKDygvr6eV1ansTerzG3cL97YzFWvb3Yb8+6mI1zy0gbyy8y37qipcZWXkmM5pfMVQohTVVdXxyNf7WN5svkWOl1NabWtacFsM4u2pbMyOc/0dZvNxlPLDrD+oHm69L5MC2f84wfe3nDINKakqo4lSTmtbkcnujZpfHUBl762hVfWHOb6t7ZzuLBCGzPzyR/YcqychIxyTnt8hTZm48F8Hl+SSkpeJbMXrjct77LXN/PKmsNc88ZWckrNV94XQoj2Nu/5TXy0I5N7P9rNqv35rb+hk2WX1fDh1gw+2p7B4UL9Te1vP0nkb9/t57ef7mHRtnRtzMWvbOHNjUe5/f1ENh3ST1C67F+byK2w8fdlaezL1N8c3/beTv65LJU7PmiZkC+6D2l8dQElla47GLvDydFC/fZCxVXH73IstfqNTnccO95z5m4wubTadax6h5PMUn15QgjRESwNW+s4Ddid6b63vysorbbhNAwMw9XrpHO0yHUTaxgGySYjCiUN13CnYbAvRz9rsrmknJIWzzkcDspqbA3Hc98TJ7o2aXx1Ab+7YCQxof6cOSKaCyboZyy+eu3EpsfPXDVBG/PgRWMJ9nP9k54x3HwW0f3zXeWdMyqG2SO6R8KrEKJneOD8kQT7eTMkKpDfXzS29Td0srH9w5gyKILxcWFMHqSfbfiPKycQFxHIiNgQ/vqTcdqYhy8aTXigL2P6hXLP3JHamMF9XGsl+vsobpg9rMXr3t7e/OqsoQyPDeGeuR22wYzwAEm4F6ITSSLyyZGEez1JuBei80nCvRBCCCFEFyWNrw729saj3P/pHtYf1K96DPDupqOcvXANN7693TTmi52ZxC9YSvyCpby76Yhp3K3v7uCsp9bw7/WHf9R5CyFER/g8IZOzF67h2je2YLfr81c9xeE0WJGSz2c7syg2yaGy1jv4dk8OX+3KpqpOf76fbs9g9CPLmPDoCtKL9JOm2vK5X/whjbOeWsPdH0ovYU8nja8OVFhhZeX+AvIstXyemG0a9/7WDMprbOzNLGOdydYUj313fDuKp1fot+TYkV5CQnopllobi7bKlhFCiK7nzQ3HKK+xsT+3gsV7zZdm8ISs0hr251aQU15LQnqpNiY1v5KjRdVklNSwL1ufTP/sD2nUOQyq6uws+CpFG9OWz/3JzkwstTY2Hy4mvdh8uSDR/UnjqwNFBvnRL9yVQDmqb6hp3MjYEACC/X2YMDBMGzN18PFEz7H99McaFRNMSMN2RsNi9KsaCyFEZxof57rGBfh6M3VI524vFB3qT5CfN0rBQJPNpePCA/D1Vnh7KQb20W8dNGlAOEq5tvO5YHxfbUxbPnd8w+r4EUF+9AsJONmPI7oRSbjvYFabnaJKm9stJ8DVazUsOphoN1+4L3ZmUudwcMOsoaYx5dVWDuZXM3N41Cmfs/AcSUQ+OZJwr9fdEu53ZZQyMCKI2PDOb2DU2R3Y7E5CG25cdaz1DpyGQZCffl9dgOXJufQLC2DKYPN9G9vyubcfKWH8gHBCAszLEl3TySTce/RfVykVD2wHDgA2wzAu8GT5nSHAz4dBUa3/bz49vvXG0lUzBrcaExEcwMzhnX9BE0IIM1OHtL6xtKf4+3jj7+PtNibA1/3rABdNiGs1pi2fW26ce4fOGHb8wTCMuV254eVwGqQVVLbLInb7cyy8s+kYZVXmW0Hszytj9j9X8chXe90ea/vRErYdabnwXnPlNTYO5ldS73Ce0vkKIURHKqqo46a3t/PqGvMtdLqaF1el8vT3B9zGvLr6EJ8nmOfaOpwGhwoqTRP7wdULdzC/Ektt/Smfq+geOqNfc55SaiPwlWEYL3RC+a1am1rIvhwLfj5e3HJGPMH+p/a/yVJr47ef7sZa72DtwUI+vH2mNu7Sl7fgNOCjHdmcNqiPtodrTWohb6x3zXK8rXYoF07o1yKmzu7gkx1ZWOsdjOwbwqWTWr8TE0IIT7ro5fWUVNWz6XAxAyMCuGLqoM4+JbeeWLKfD7amA5BTXstL109tEfPgZ3tYmZKPUgqnE649veU1fENaEXuyyvH1Vtx0RjxhmmHOZfvySC+uIdjfm9vOHIqPt6Rl91Se/pfNA0YB84D5SqlJzV9USt2plEpQSiUUFen3vvKEaptrGnC9w4nNfuo9SLU2B3UN76+0mk+pdjZLu8s22e6nrPr43VJpjb4Xze4wms63xuY42dMVQogOV1fvuuA5Dcgut3by2bQur6K26XGxyQhG45ZthmGQZ9F/psZrcn2z6/SJqutcMdZ6J44umo8t2odHe74Mw6gD6gCUUkuACUBSs9ffBN4EV8K9J8+tuXljYgkLLKNfWAB9gv1O+Tj9wgP59bzhbDtays2z403j7jgrnne3pNM31J/7L9Rvt3HZ5AFYau04DCdXTtH3aAX7+3DJpH5kldYyxWQbDCGE6EzPXj2RR75JZkhkEL85V7/NTlfyzBWTuK0ygTq7g5eum6SN+ceVE/njV/sIC/TlN/NabgsEMGd0DEH+3sSG+hMd4q+NuWhCP/ZlW4iPDm41D010bx6d7aiUCjUMo7Lh8SLgFcMwtCuL9pTZjkK4I7MdT47MdtTrbrMdheiJuvL2QmcrpRKVUluAXLOGlxBCCCFET+XpYcdlwDJPltlTVFjr+W5vLk4DLp8UR3iQ+Zo0QgjRVaUXV7PqQAGxYQFcMrE/3l6qs09JCI+TqRTdxKGCSgor6iiurCM1X793mBBCdHV7ssqptNo5UlhFYWXXT7gXoiPIErrdxJCoYAL9ynAaBkOjZesgIcRx7ZUL54ncsZF9Q8goqSEyxI+oYH3iuRA9nTS+uonoEH/uPNs1i8ZLuulFNyOJ8qLR+LhwRvcNxdtLoZRcy0TvJI2vbkQaXUKInkAWDxW9nXwDhBBCCCE8SBpfQgghhBAeJI0vIYQQQggPksaXEEIIIYQHSeNLCCGEEMKDpPElhBBCCOFB0vgSQgghhPAgaXwJIYQQQniQNL6EEEIIITxIVrgXQggBdK89IoXozqTnSwghhBDCg6TxJYQQQgjhQdL4EkIIIYTwIMn5EqKLaY+8G8m5EUKIrksaX0IIU+2VgC2EEOI4jw87KqVeUEptVEq95OmyhRBCCCE6m0cbX0qpqUCwYRhnA35KqRmeLL+9VVrrsdTY3MZYrXb251paPVZhhRWb3ek2JqO4msOFFW5jbHYnhRXWdinPWu+gzu5wG+NwGlTX2Vstr7rOjtNptBonhOj5Hv4skR9Scjv7NIToNJ4edpwNrGp4vAqYBez08Dm0i9S8Cp5cdgCn0+C++SM5fWhUixir1c75L22gvMbGaYP78MHtM7XHen9LOsv25RET6s/TV00iyK/lP8uibek8seQAAA/MH8ldc0e0iLHZnfz+i73kW6zMHxfLHWcP15b31sYjrNpfSL/wAJ65ajJ+Pi3b4HmWWr5MzEYpxVXTBtI3LKBFTL3Dyac7syiurOPMEdGcPjRSW97GQ0UkpJfRLzyAa6cPwstLaeOEED1f41D2Z7vyuW9uKQ9cNKGTz0gIz/P0sGME0Nh1YwH6NH9RKXWnUipBKZVQVFTk4VM7Ock5Fmx2J3anwd7scm3M0dJqyht6xtIKK90eC6Coso48i77XamVKAU7DwGkYrD2o/39TUGklv+H9yTnmPWQpOa5zybdYKajUl5dVWku9w8Bmd5JdVqONqbTaKa6sA+BYcZVpeenF1U3l1da770kTQvQeH27P6exTEKJTeLrxVQ6ENTwOa/i7iWEYbxqGMd0wjOkxMTEePrWTc+6YvgyPCWZwZBAXT+yvjRkXF860IZGEBPhy9bRBpse68rQBxIT6M3t4FMNjQrQxD14wirBAX8ICfPndBSO1MYP6BHH2yGhiQv258rQBbsqLIybUn7NHRjOoT5DJuYcxsE8ggyKDGNs/TBsTGezHAMNPLAAAIABJREFUlEERRIf4MVPT89do9vAookP8mBEfSbC/zPEQojcL8/duevzxndM68UyE6DzKMDomD0cpNRN4AXAACYZhPKCUehG4FlgDVALvGIaxQ/f+6dOnGwkJCR1ybkJ0FdOnT+fEet6VlpqQ2Y7iVJxY/3T1XIieRimVaBjG9DbFdmDjqx9QbhiGVSn1EfBv4I/AIeByINUwjJ+YvT86OtqIj4/vkHMToqtIT09H6rno6aSei94gMTHRMAyjTSOKHTYGZBhGfrM/7cAkYJ1hGE8rpT4AfuHu/fHx8XKnJHqMwgor3yXlEeTnzRVTBhDo5xp6kR4B0ZNIPRe9mVJqV1tjOzznSyk1CYjGld9lmmwvRE+WkldBRW09+RYr6SXVnX06QnQIqedCtE2HNr6UUpHAq8DttJJs3xDfbWY7CnEyRsaG4OfjRVigLwP7BHb26QjRIaSeC9E2HTbsqJTyARYBvzcMI18ptRO4F3gamA9sO/E9hmG8CbwJroT7jjo3ITxtYJ8g7p07HKVkjTPRc0k9F6JtOnLe/9XADGBhwxfxj8AGpdQmIBN4sQPLFqLLkR8k0RtIPe8a2mumcnvNnBb/qyMT7j8BPjnh6a3Awo4qU4i2qq6zszq1EH8fL84dE4uvt34EftOhYgorrZw1MprY0Jar/AO8vDqNr3fnMmtoH/7588namEprPWtSCwn09ebcMbH4mJQnRFfVlnp+uKCSx5fsJ8Tfh2d+PpGQQD8Pn6UQ3YP8AoheaXdmOUcKq9ifW8HBfP3uAwUVVnaml5JRUsPWIyWmx/pwawbFlVaW7sunvFq/Y0BiRhlHi6pJya3gcJH5bgBCdFVtqeevrTvC0aIqkrLL+TQh28NnKET3IY0v0Sv1Cw9AKfDxUsSG+mtjwgJ8CW5YjbufZm/LRo37XoYF+BJisoJ///BAlAJfb0V0iL48IbqyttTziQPCUUrh46WYODDck6cnRLcie72IXmlEbAi3njEUb29l+kMS6OfNTbPjqaqzu20wfXHnbFalFTBrWBQ+Pvpjje4XSt8wf3y9vWSLJdEttaWe33bWUGbE9yE0wIf4aP1WaUIIaXyJXiw8yLfVmABfbwJ8vd3HBPhw6STzvTQbRQRJ/ovovtpazycOjPDA2QjRvcmwo+hxSqrqWHuwkAw3izymF1Vwxj9Xc96z66irqzONu/SlDUx+bAVL9uaYxjzyVRJj//I9v/xPi9VTmlRZ7by14Qif7MjE6XS27YMI8SPVO5xsOVJMYkYp7raSm//sWsb95Xu+TMg0jbnohbXEL1jK1MdXdMSpCtGrSONL9DjfJ+ezJ7OcxXtysdn1DZ1fvpNArsXKkeJqbn1/tzZm4fcHSM6rxGK189DnSablfbwji9p6JxsPl5BTWquN+WRHBqsOFPLN7hzWpRWf/IcS4hQkZpSx/WgpG9KKSSvQT/R49NtkDhfXUFPvZMFXyabHSi2oAaC01k7i0bIOOV8hegtpfIkeJ7BhmNDPxwtvL/2aQyEBx0fcY8P0+VyDm63Q7ePdtrWLAk0G8kMCXEOcSkF4YOvDnUK0h8BmQ+aBJsPn8ZHH67nZ9+VEfSSdS4gfRXK+RI9zyaT+HC2qZkBEoOmPyff3ncOv3t9JRJAPz159mjbm+lnxHC2uZvuxUt785QzT8t6+eSpPLE3llzMHExmm31Ll2ukD6RsWQHigL9OGyLamwjMmD4ogJMAHP28vBkUGaWNuPXs4h4uq2ZFeynu3zDQ91oPzh/HSmqNcODaWYbFSh4X4MZS7PIDONH36dCMhIaGzT0OIDjV9+nSknoueTuq558kK956nlEo0DGN6W2Jl2FF0GYcLKzlWbJ4kD/DM8gNc8dom0osqTGN2Hivi8lc38c6mo6YxtbW1XPTieq5/Y6vb8u5ZlMDsf67iYEGLfeCb1NjsJOdYsNTUuz2WEG21P9fCt3tyqLHZTWMO5lm4Z1EiS5NyTWOsVitXvraJ29/d4ba8n7y4jtF/XsaOY0WmMXuzyrhnUSKr9xe0/gGEEG5J40t0Cck5Fr7bm8c3u3M4YrIC/PLkXP61/ih7siz89DXzRtONb+8kKdvCE0sPkF2mX71+3gubSc2vYuuxUtMG2EurUvk+uYA8Sx2XvLTZtLzv9ubyw/4C/puQidPZNXuSRfdRUGHlyaUH+Hh7Jq+sPmwad8PbO1h9oICHPt9LcWWNNubCl7eyO8vC6oNFpg2w+z5J4EB+NXV2g2veMG+k3freTlYfKOC3n+6mRm40hPhRpPEluoQ6u+P443r9DMXy6uMXfLvDvJHTfCWH2jp9nLX+eHlltTZtTFHF8SUo3I3O1zXMqKx3GEjTS/xYtnonjoYKV9Osnp7I7nDVO8OAOpO2UG398Z6z0prW67k79Q3fOafTQJpeQvw40vgSXcKUQX04a2Q0c0bHMLZ/qDbmuplDmDcqhn6hAbx0/RTTY/3x4jH0DfXnZ1PjGNkvTBvzxb2z6BPkQ78wf76+63RtzBM/m8zQqEACfb1Y+PMJpuVdMrE/0+P7cMVpA9o8W0wIM4OigrjznOHMGx3Lr+cON4178sqJjO4byt1zhzLAJJn+s7tn0jfMjyGRQXxyuz4V5eO7ziTY1/VT8H/zhpmW9/fLxzG6byj/d97INi1QLIQwJwn3QnQiSUQWvYHUc8+ThHvPk4R70S7Ka2yUmwxVnAyn0yDfYv2foT6dPZll7M+xuI15c91hLn9lg9uY3NJKrnx1I98nma9KD3DTW1u57xP3Pwhp+RV852Z1ewBHw+czW9BVdG3tVc/bU0qOhfe3HHMbsz+3iCmPLee1VQfcxs38+0oueG5Ne56eEOJHknW+hFZGSTVf785BofjZ1AGmawS1xaoDBaTkVhAR5MsvZw3Bx7tlm/+THRm8tvYICvjrpeM4f3y/FjEfbD7CP5YfBGDogqUcM7kjO+NpV+Psno/3sGVgGHGRLYcxJ/51OZU2V2MwrWAd398/t0VMWn4F1721jXq7k8V7cnnrZv1aX8v25XG4sIroUH9unDkYpWTosbtoz3reXg7mWbj6ja3YHU6+TMxh8W/P0sZd/LIrOf6ZVUeZNy6acXExLWIaez8KqusZ/5elpPxdejGE6Aqk50toFVXWYRjgNAyKqtqWkGumoNL1/vKaemwOfe/QgbxKDMPAaRik5Op7v5anFDY9butg+d5s/ZIUjQ0vgKPF+pli+/MqqG/ozcoo1ccAFDZ8vpKqOhwy27Fbac963l725VY0JdPnV+i3qzrR2v2tb1lVLVnyQnQZ0vgSWhMGhDO2fxjj4sIYH6dPWm+reaNjiI8OYt6YWIL89J2td50znLH9w5g0MIJbzxqqjfn4ztk07vIzbXC4aXnDolyrzAf5evOTSQO0Mc0Tiz+8Xd+jdcVpAzl9aCT9IwJ56MLRpuWdNyaW+Oggzh/XV9urJ7qu9qzn7eWqaYOYMiiCyGA/7p8/0jSu+VZWv54/Vhtz7qjIpsfPupk0IoTwrA5LuFdKxQFLgHFACDAQ2A4cAGyGYVzg7v2ScC96A0lEFr2B1HPPk4R7z+sqCfelwHnAtmbP/WAYxtzWGl6ie7G6WYW70eF88xXiG2UW11BsMR/eA8jOzubDzeYr1zf6eMuRdinPMIymISAhWuNuRfpGNrsTeyuTM7KysnhvY+t1+IEPt7UaU2W1Y7W6Py+p50J4Vocl3BuGYQWsJyQfz1NKbQS+MgzjhY4qW3iGze5kwZdJ5FpqufK0AVw7Y7A27vQnf6Cw0oaPFyT88TwiQgNaxNz+7g5WH3RtbXLL7ME89tOJLWJeX5XKwlWuH6S/fHfA9I6s8Y7vT4tT2f7AdPr27dsi5pf/2cbGwyUA3HPOUP5w8Tjt5/tvQhYlVXWcP64v4+PMhzqFeHfzMZYn5xMfHcyTP52Aj0/Le9u9WWU8uzINby/FXy4dx/CYkBYxr648wLNrXDcYjy1NbbWef71gKUtuHMKECS2HFT/ensnTy1Px9lK8cv0UzhjRMilf6rkQnufJBJU8YBQwD5ivlJp0YoBS6k6lVIJSKqGoyHyPMdE1ZJXVkFNei2HAjmOlpnHFVa5p/HYnrDus/3fderSk6fHipDxtzMvrWu8JONFLG/XLROxML2t6/OVu/d54JdV1FDckZKcV6LcpEqJRQrrrO5BeXE2JydIVO9JLsdmd1NocJGaUaWNeXd96z+6J7vteX8+XJ+fhcDqx2R0s25evjZF6LoTneazxZRhGnWEY1YZh2HHlgrW4TTMM403DMKYbhjE9JqblHZroWoZGBTFlUDihAT78ZELLpSEajekXigKC/b244rRB2pjrTz/+/H3n6lf1fvf2ySd9jv+4aqr2+aumxjU9fvhCfVJzbGgAI2JDCA3w4bRBfU66bNG7/GRCf0IDfJg5NJK+YS17dwHmj+lLTKg/cRGBzBmlv8a9c3uL+9JWrf79hdrnb549hOAAHyKC/Lhp9hBtjNRzITyvw1e4V0qtA+YDgYZhVDY8twh4xTCM7Wbvk4R70RtIIrLoDaSee54k3HveySTcd1jOl1LKF/gemAysADYopS4H6oBN7hpeQgghhBA9VUcm3Nfj6vFq7vGOKk+0r4P5FSz4ch9KwbNXT2aYJjG4oqKCSf/YCEB0sC8Jf9FPYh33l++pqXfNpDK7i5q7cDXpZVYA5ozow/u/OqNFTFFRETOec63q7ecNaU/qj3XmU6vJKbcS4ONF6hM/0caUVdtYlpyHv483l07qT4CvtzZOCMMwWH2gkOyyGs4ZFaP9LgBMfHQ5lXUOFJjuvjD+z0upbph4OLSPL2v/0PI7c+TIEc57K7Xpb7PvzJK9uSxJymXSoAjunTvi5D6UEKJTyYqQQuu/O7MorLRSUGHl051Z2pjffXl8T7liN8tnNza8AP65JEUb09jwAlh/WJ+IfOmbu5se29xsE5lT7jqW1e5kzX59knFyroXCijqySms4XFhlfjDR65XV1LMvx0JZTT07080nllTWuSqlATy3XL/fYnWzFR+Olem/M+c3a3i5syQpl7KaetYfLMLSxfamFEK4J40voXX2yGh8vL3w9fbinFHR2ph7miXGe7vZzrD5SzfMGqiN8W0WFBGgr5Z3nxNvXkgzAQ1T/BUwK16/anl8VDA+XopAP28GRAS26biidwoL8CE2zB9AuzREo+a19toZ+p0VmjP7yvx8csulUXQmDYoAID46mNAA2aZXiO6kwxPuT5Uk3Hc+S63rbjo80M80Jrukgi1HSrnm9Hi3x3p7wyGumhxLeLj5GkIvrkihf0Qw1840P9b+3CKW7s7n95e0XAesueX7cjhneB+Cgsw3SrbZnXgpOnVLIElE7h6cTgObw9nq8PQHm49wxcQYwsLMtyq67/3tDI4K5sFLzbf7WZl6hEXr8/ngrjPdlldeYyMswAcvr659Hy313PPaK+G+vfSGxP2TSbiXxpcQnUh+lERvIPXc86Tx5XldYraj6LoKKqzsOFbKkKggJg2M0MakZFu48e1toODre2YTH6O/kx/+x6U4DJg0IJTFvz1HGzNiwVIaU13MvoC3vrWFtUdcuV6/nzecX184RhvXeEEZHOHPhgUnzudw+Xh7Jh9uS2fW0EgevVzfu2Ctd7A+rQh/Hy/OHhmDt5ebcVPRY9XZHWxMK0YpOGdUDL4mvaAPfraHA3kV3DtvOJeabNbe/MfOrJ6f/thSChvSG88bHcTbt87Txl3x6iYySmt4cP5IbjxDv9G8EKL76tp91aJDrE0t5HBhFasPFFJp1Sf9/t+nuymrtVNWY+euRbu1Mb9elICjoeM0Kcd8Zezmu8pd86+N+nM6cjzJ/pm1+pXsz3lqVdPjzPI60/JeXp1GdmkNX+7KIa+8VhuzK6OM/bkV7M4s52C+rOrdWyXnWNiXYyEp20JyjkUbs/1ICStT8skqreG5FWltOu7MJ/S9DoXH55Ww+qB+X9FFW46RlGPBUlvPwpUH21SeEKJ7kcZXLxQV4koeDg3wwd9Hn8Mysm8ISoFSMLa/vtfr3DEnvwvBxRPjWg8yMWto21bfjgx25agF+HrTJ8BXHxPiivFSij7B+hjR80UG+zfV86hgf23M4Kgg/Bq+J33D9SvXn+jS8adez8fGhePVsCdunyDzfEshRPclOV+9kNNpkGupJSrYn0A/8wTiV9ccwlfBXfP02+8APL/iAF/tymHpvTNMk+m3HM3iF28mcc7wPnxwR8v1uxqNWLAUHy9I/Yd5bsBd721j45FS1v12OrGxsdqYKqudL3dlMmdULPHR5rPTCiut+Hp50Se4837gJBem8xVX1aE4flOik5ZfwY5jpVw3YyA+Pvpsjc/2pPDwp+kMjvBmw4KLTI/VODzpLgdm06EiNh0q5nfzh+Pn1/0bYFLPPU9yvjxPEu6F6CbkR0n0BlLPPU8aX54nCfe92PajJSTnWLh4Yn/6m6xfdbSoinc3H+P0+Egum6JPHk7LL+GCF7cBkPj7WURFRWnjxvx5KVY7/HRiLC/dMEMbM+uJ5eRXuRagNPsCHi4oZf4LW1FA4sOziYyM1Mbd/WECKbkVPHHFeOaM1q+HZKmpJyXPQnxUMHGyhlevVVVnZ1+2hYF9AhkUqV9yxG538tWeHLyAn00dYLpkQ+MP2YhIf1Y9rJ/oMWzBUhqXEzar55nFFuY9twkvBQl/OMvt0itCiJ5Lcr56kOIqKy+tPsTK/QW8vPqQadyfvtrHmtRCnl5xkKzSam1MY8MLYMYz27Qx93ywDWtDNv23+wpNy2tseAH86u2t2pj5L7ieN4DTn9XHfJ6QwYr9BWSV1XLvR/pJAADLkvPYfrSUr3fnUO9wmsaJnm1Fcj7bjpbw9e4camx2bcy3e3P4MjGbzxOz+S4pTxsz56mVTY8Pl5pP9Ghe0855St/rMO+5TTgMqHfCrGe3tP4hhBA9kjS+ehAfL6+mJRPcLRza+JqXlzKdWt/8WWWyCkOoSTK7O8H++s7W5kWYrfoQ2CzXxt3SEI2veSlluoq46Pl8GrZd8PZSTQnsJ/L1OV7T/Xz034Ug35MfIAjy07+nebX1keVNhOi1pPHVg0QE+fHHn4zh59MG8uAFo0zjnr16EldOHciTV0ygX7jJ0ORTl+CtwEfBkX/qh1CevmYasSGuBth9c4eYljd1QCgAvsBLN+qHJhMfno2Pcr9h9qVTBnDLrCGM7R/Kl3fPNi3v0kn9mTs6hqunD+zU1etF57pwfD/mjYnl6mkDTVemv3zyAG47cyi3nzWUn0zor435/sFzmxrx84abz7iNajYRcvnvLtTGJPzhLAJ9FKH+3ux73DwpXwjRs0nCvRCdSBKRRW8g9dzzJOHe804m4b5bdAs4nQaHC6sorbZ19ql0CIfT4HBhJeU17j/f8uR8liTluI1Ze7CAR77eR3GlfgFHgDUH8hj5p6Xc8NYmt8eKX7C01S/w2D+5YhYuTjKNeX1VKvELlnLu06vdHuvylzdw3b/d58EcK6piTWohNrvkcvVmWWU1rD5QgNUklwtgf14Z5yxczcLvU9weqy31vDHmiufN49btz2HiX5fz8H/N8xEBskpryDVZ/FcI0Tt0i8bXhkNFfLc3l4+3Z5iuyN6drTpQwHd78/h4RybWeoc25pMdGfx9SQr/XJbKe5uPaWMyiqu5d9EuPk/I4sp/6ZPkAW57fxf1Tth8xMLb6/QraDf/MTL7YbrkhdXUNrSBXt+SZVrewlWuFeuPllp5fVWqNmbmkz+QlFvJtvQyLn5xvTamsMLKXxen8Mb6I7y6xnxCgejZKq31/OWbZN7ccJRnfzBfcf7Sl7aQWWbl9fXprE8t0Ma0pZ43f36P+bwSbvlgD5U2B5/tzmXdfv1N0oG8Cr5IzOa/O7PIKNFPdhFC9HytNr6UUl5KKa+Gx35KqalKKf06AB2kqs51d1vvMLDW97wej6qGKYM2u5M6kx6dAsvxfUkKKvUzroqr6nA2jCLX2PSNuBPtMdlSpS2OFVtbDzpBUq6+vArr8R4Ms89XXWdv6vEqq+l5jXDRNrU2R9NNisVNPWj+TTpYcOr1/FQcKdb3PDdeywAqrea9dkKIns3tNB6l1BXAG4BTKXU38CegGhillLrHMIzvPHCOzBkVQ5CfN7GhAcSEmq9C3V2dNzaWxIwy4iICCQ/UzyC8a84IiqrqcDrh13OGaWOmxUdy5WlxJKSXcd955qvSj+8bTEpBNT4KXrnhdH15swfyxtZsAP58vr68/U9e0tQr4G4N7hA/qGoYUX39ppnamE9um8bVbyXgpeD7356pjRkaE8INswZzuKCKq2cMclOi6MliwwK47cyhJGVbuHKqfp06gOumD+CzxBz6h/lz5xz9BJRfTu/LhwmuXrHfzdXXqfSnLmlT/sz0IREkZJQT6u/N7efov39TBkVQV+/E20sxzmTbLiF6ovbIQetJeWNuE+6VUruBnwCBwF5ghmEYB5VSQ4Av3SWWKaXigCXAOCDEMAy7UuoFYDqwyzCM+9ydmCTci95AEpFFbyD13PO6WsJ9e+jqja92Tbg3DCPfMIxjQKZhGAcbnstow3tLgfOAbQ0nNRUINgzjbMBPKaVfc6CXKq+xtbog6JcJmXyZkOk25r0NhzjjyR9aLW/0H5fy6GfuE4OnPraUqY+5/wI/tXgfEx9t/Ut+rKjKbXI0QEGFleKqkx/KFL3PnmOFPPLV3lbj4hcs5YZ/u5/o0ZaE+y92HOOSF9e1Wl5ZtQ17K99jqedCiDblfDU8vK3Zc964H2nCMAyrYRhlzZ6aDaxqeLwKmHVyp9pzbTlczLub0/loW4bpLL7fLErkwS/28eAX+7j5HX0y/Rc7M3hsWRq5lTa3PybxC5ZSZ8D7u3J5Yal+Jlj8gqWUWqHUan4H9cjnu/j3lkwq69zfZb24Ko0FX+3j918mmX6+LYeLuf/TPdz/6R6Sf0Qemuj59ueVccUbO/loRzYj/7TMNK6xTm5Ot/LrDze6jTnxcXPvbkzjoa/2k5Jf7baer00t5L0t6XyyMwuHUz+iIPVcCAGtN77upKGRZRjGjmbPDwSeOsmyIoCKhscWoMVqhUqpO5VSCUqphKKiopM8fPeVXeaadl5WU091nb53aHt6adPjpGz9Rftdk1mQ7ryzPf2k39PoG5PtWE50uLAKgMKKOtPlNA7kVeA0DOodBql5FdoYIQBWJuU3Pa43aeScaGnKqdepT3a4X96lUXaZK8m+uLLOdNay1HMhBLTe+IoDbm/8Qym1XSl1FFgLmG9yplcONGaYhjX8/T8Mw3jTMIzphmFMj4mJOcnDd19njIgiLiKA04dG0idY36G48OcT8FHgreBvl4/Txiy9f27TY/163i3t+5t+DD02+Pjj4VH6eRkpf2/b+Pt1MwYxICKQiyb0IzYsQBtz2eQ4RsaGMLZ/GOeP02+YLQTA/ReOxb9h66AJcaFteo9Zrkjz70mIyXtXPjiv6XGwr/mWQGePjKF/eABnDI8y3UZL6rkQAlpPuN8MXGcYRlbD33tw5XEFA+8ahnFeqwUotQ6YD0wC7jIM4y6l1L+A907oTfsfknAvegNJRBa9gdRzz5OEe89rz4R7v8aGV4NNhmGUGIaRiasB5u4kfJVSq4DJwApcW/tZlVIbAae7hpcQQgghRE/ldp0vTsjLMgzjN83+dDsuaBhGPa4er+a2t/3Ueo9v9+Tw2c4s4qODefSy8fj5tGwTv7omjedWulZ1/795w3jgwrEtYtKLypn73GbANTxptiH2yD8tpXGt2g0PncXg6PAWMRc9v5bUQlcOy6T+ISy+b06LGJvNwS3v7yS7rIZrZwzi1/PM1xYToi32ZJbx8BdJOA146mcTmD40qkVMW+t58zv/T++azKyhA1vE3PnedlamFgNw2cS+vHJDy5tWu93Jo9+lkF5czTUzBvHTKfq1xXZllrH5UDHx0cFcOqk/SpkPUQoherfWer62K6XuOPFJpdRdgPRctZMNaUXYG/avzCrTr4z9yfYsDMAAPknI1sY8veL4VisON3nIzTcJWLhcv01PY8MLICmvShuTnFdBRkk1DqfB6gNu9l0Roo2WJedTbbNTW29nyT79hI621vPmHvzkgPb5NWnFTY9X7NfX4YyyGg4XVmF3GmxIM58IlJxjafoeV7dxhwkhRO/UWuPrAeBWpdRapdRzDf+tA24B7u/ok+st5o2Oxc/Hi1F9QxnSJ0gbc/MZQ1CAAq6f3vIOHuAflx5fxVvTedbEz/v4HfkfLtL3Vo3ve3xUedpAfVLzhP5hDI0Owcfbi/njYs0LFKKNLpvUn1B/X4L9fLh0Yn9tTFvreXPPXd+ypxjggrHH6+1lE/tpY4b0CWJU31D8fLyYM9q8w3/SwIim73GwX1unvAgheiO3CfdNQUqdC4xv+DPFMIw1HXpWSMK96B0kEVn0BlLPPU8S7j3vZBLuW8v5AqChsdXhDS4hhBBCiJ6uTY0v0ZK13sGKlHwcToMLxvcjxGRdn7a4+Z1tbEgrIdDPm/1/u0gb848lyby5KQOA66bF8dTVp2njGu92Anwg9Qn9XcKchavJKLO6TVZOTC/l3o93oYC3b57B+AEtk/IBNh4qIruslrNGRDMoUj9kKnq+bUdLOFpUzaxhkQyL0a+Y9f6Wo/xnYzpDooNZdLt+g/XXVqfxzA+uPMS7zornj5eO18Y1v6s3uxse8+elWO3uY4QQojNI4+sUHcyv5GhRNQBJ2eWcMTz6lI+1Ia0EA6ixOVi4bD9/uLjlIqqNDS+ATxNztY2va/99fAsVq5ttFDPKXPvKOQx45Os9PHnllBYxz6w4SFm1azX6hctT+UDzY1lWbSMh3bWD1NYjJdL46qWq6+xsPVICwObDxaaNr3c3Z1BeY6M808a61ELmjmmZJ/j8quMTQN7alK5tfM1duKrFczrNvwPX/nsj/7377Da9T4jO1hOHDMX/amPv1aRFAAATwUlEQVS6qjhR//AA/Hy88PZSDIz4cY2O0ABXcq4CfjpZn/TbP+z4yveRgfo286/OHt6m8pr/o189fZA25swRUSil8FKKs0fqG5YhAT5ENqzIPzAysE1li54n0Neb2DB/ALcN8JGxrkZZsL8PEwaGaWOGxxx/f1y4vzbmznPaVs+ba+t3QwghPKFNCfedoTsk3FvrHTgNgyC/H9+B+Mb6Q8wZEcWYAZGmMf9Ykkyd3cHjV0w2jfkhJZc31h3hi1+7v8v/wxd7uH7mIKYMarmOUqO9WWX4eHmZDjkC1Duc1NgchAf6ui1P6PWURGS7w0l1nYPwIPf1YEd6CcOig4kO0W8zBa6hxzq7g99p1rJr9PHWY7y+7ggb/3jiUoL/66rXNnLX3OGcPz7O/QcQHaqn1HNPkZ4vva6ePnAyCffS+BKiE8mPkugNpJ6fHGl86fWkxpcMO3aw9zYf455FiWw9XGwasyezjHs/2sW/1x02jUkvqWDq31Yy5fGVHM5vsSd5k/9sPMo9ixJJOFZiGlNSVcfKlHxS8ytMY+odTjYeKmLToWLsDqdpnBAAaQWVrEzJp6iyzjRmQ1ohP399C48vTjaNybdUce6z65j79FqyS/WL+wJc98ZWJj+2gjfW6hcJhrbVcyGE6AzS+OpA+ZZa/rPpGEnZ5SxcftA07qnvU9mbVcai7Znsz7NoY255J5HSmnrKa+u55b1EbczRoire25JOUnY5T7kpb/WBQlJyK1ienE9VnT4zPynbQkJ6GTvTS0nJlR8vYc5a7+D7ffmk5Fbww/4C07jHF+8nLb+CL3flsCNdf3Pw20+SSC+pJrOsht98vEcbszw5l+3ppVisdp5bZd74aks9F0KIziCNrw4U6OdNQMMS3O5yYfo0JK37ensRGeSnjRkQfjxHpm+YPl8mPNAX/4byItyUFxrgylEL9PXG11u//1x4s6T+xnghdLy9FIF+rnrnrq40fge8vRSxIfpk+sHNdngY0Ec/iWNQRDCNtdbf13wl+bbUcyGE6AyS89XBDhdUsv1YKT+d3J+QQH3Dqtbm4Js92UweFMG4/ubJ7Q9/tgebw+DF6/VrfAEczK9gV2YZl000L8/ucJJRWkNMqD9hAeaNtJzyWrwU9A+XmYwdpafkwlRa6ymoqCM+Kggfb/09XZXVzjubjzJreBSnx5tP9HhuRSr1DoMFF5sn3H+zK4sl+/J57PIxDOyj3/6qrfVcdLyeUs89RXK+9HpSzpc0voToRPKjJHoDqecnRxpfej2p8SXDjh1s06EiFi5PJau02jQmq7SKB/67h88TMt0e6473d3LLO9ux2WymMesPFrJweSo5ZbWmMaVVNj7ZkUlyjj6/TIiT9d3eHB747x7S3CS378ks5YLn1/P4t+YJ9wAPfbaH+z7ZRX19vWlMco6FT3ZkUlpl/l0QQoiuSpJ5OlBJVR1//iaZeoeTxIwyPrtrtjbuzg93kV1aw5rUAsbHhTMuruXQ4x3v72R1aiEAt324i0W3z2oRk2+p5a/fJmN3GiRllfPRHS1jAJ7/4SCHCqtYmpTLy9dNJTJEPzwpRFvkldfyl29TcDic7MkqZ+1Dc7VxN/xnB9U2B4eKqjhzZDTzx7VcUPihz/aweG8uAHbD4LVfTGsRU15j46nvD1DvMEjJsfDElRPb9fMIIURHk56vDtY4rOt0M7zrNBpjzePqHI6mx/V2/dIPDic0vtt9ecbx8pBlJEQ7aKpT5vWu+Ut2p77etaWeO53Hj+WungshRFclPV8dKCrEnz9fMo7NR4q5ceYQ07hXrpvC8z+kMXNoJBMGRGhj/nPjVG5+bxd2p5MPb9UPKQ/oE8gffzKW7cdKuGl2vGl5988fxdJ9eUwcEO52pXEh2qJ/hKverT1YyD1zzLfxef3G0/jLtylMH9KHiyboV5x//qpJ/NaehN3p5LXrW+45ChAZ4scD549iX46Fiyf2b5fPIIQQnuTRhHulVDywHTgA2AzDuMAsVhLuRW8giciiN5B6fnIk4V5PEu5/nB8Mw5jrruHV2QzDIKu0hkqrecJvW9XY7GSW1OBwmjdybTYH3+3J4WiR+YreAKl5FaaLsDaqrrOTVVqD0015QrS3vVllPLsiFUuN+XfG6XR9r1pb8LSoso7CSqvbGKnnQojurDOGHecppTYCXxmG8UInlN+q9WlF7M4sJ8DXm1vOiCfQz3whR3fsDicfb8+k0mpndL9Q0yGSh77cS2JGGQG+3nxyx0xiw1quq7XlcDEvr3Gt5n33nOHMHR3bIsZmd5VXVWdnXFwYF45vmdAsRHsrrqzhF29tp97h5Ns9uWz8w7nauHVphezNshDk583NZ8QToFkgNaOkmq935wBw2eQ4hseEtIiRei5E79RePYJdoQfN0z1fecAoYB4wXyk1qfmLSqk7lVIJSqmEoqIiD5/acWU1runr1noHNbZT35ak3mE03eWXVptPic+vqGsqr7hSH5ddXothuBKNc8r1y0jYHE6qG863zE15QrSngop67A09UO56i0urXa/V2BzU1euT6ctq6pvqeXmNvg5LPRdCdHce7fkyDKMOqANQSi0BJgBJzV5/E3gTXDlfnjy35uaMisXfp4R+4QFEmWyD0haBft6cP64v6cU1TBvSxzTuwQtG8eb6o4yPC2PcAP0K95dO6k+epRan0+CnkwdoY0L8fZg/ti8ZJTXMiDcvT4j2NH5AOBeMj2VPpoVbz4w3jZs7OoYdx0oZEBFout3W+LgwympsGIbBRJPJJ1LPhRDdnacT7kMNw6hseLwIeMUwjO26WEm4F72BJCKL3kDq+cmRhPuO1VHDjl054f5spVSiUmoLkGvW8OqNam0OSR4WPZ7UcyGE8Pyw4zJgmSfL7A52ppey6VAx0aH+XDdjEL4mGxML0Z1JPRdCCBe5+nUBjUtMFFfWUWk99QR/IboyqedCCOEija8u4PShUUSF+DFpYDh9TBKRhejupJ4LIYSLbC/UBQyNDmZodHBnn4YQHUrquRBCuEjPlxBCCCGEB0njSwghhBDCg2TYUQghhMe1x1pWXWGbGCFOhfR8CSGEEEJ4kDS+hBBCCCE8SBpfQgghhBAeJI0vIYQQQggPksaXEEIIIYQHyWxHIYQQoh20xwxO0TtI40sIIYQQvUZ7NZJ/zFInMuwohBBCCOFB0vMltBxOg8SMMpSCaYP74OWlOvuUhGh3Us+FEJ1BGl9Ca1+Ohc2HiwEI8PFm4sDwTj4jIdqf1HMhRGeQYUehFeDrpX0sRE8i9VwI0Rmk50tojekXhp+3F15KER8d3NmnI0SHkHouhOgMHm98KaVeAKYDuwzDuM/T5Yu2GxYT0tmnIESHk3ouhPA0j/azK6WmAsGGYZwN+CmlZniy/Pa25XAxa1IL3cYsTcrlt58kcriwwjQmNaeUuc+s4dFvk90ea/Kjy5n06HK3MS+sOMBFL65nT0aZaUxGcTW//SSRb3ZluT3W3xan8MSS/W5j0goqWbw3hxqb3TTGWu8gJddCWbXN7bF6ux9Schm6YCmznvyhs0/lf2SUVHO4sMptzDubjvKzf21iT2apaUxxlZVHF+9j5f58t8e6+8ME7nx/p9uYRVuOcdM72ziUX2kacyi/kpve2caiLcfcHmv9wUI2HipyGyOEEO3J00kOs4FVDY9XAbM8XH67WX+wkJdWH+KN9Uf4ZneONiantIaHPt/LiuQCbvjPDtNjXfavbaSX1PL+1gy+26NvEI37y/dY6hxU1DkY/Yh+jZIdR4t5ee1RUvOruPbNrabl/eI/21iRXMCCr5NNG4UPfLqbRdsz+GBrOn/6KkkbU1pl4+9L9vPRtkye/yHNtLzlyfmsTCng051Z2OxO07je7o4Pd2MA+ZU2rv33xs4+HQCOFlXx1a4cvtubS3KORRtzKL+CJ5YeYFemhevf2m56rFvf3clXiTk8/HkSafn6enfT29tZnlLAygOFXPP6Fm3M/txyHltygE2HSrjmDfN6fs2bW9l0qITHlhxgf265NmZZUh7/WneEV9ccZlUrjUIhhGgvnh52jACONDy2AOObv6iUuhO4E2Dw4MGePbOTVGk93tNTZa3XxtTa7TgN12N3jQ5nYxBQXKnvHbI5jr+/3qE/TnmNjcYjOZod80R19a5jGQZYavQ9VhXNPl9ptf7z1dkd2B2ucmptJieFq+fLdd5OnIb5eYnjSqr0/889zVrvbPZY/29cbbO3qd41HstpGFTV6etdee3xz20x+V5VWo+XV+8w/17VN3znDMzrcFWzHttKq3kdFj2brEwvPM3TPV/lQFjD47CGv5sYhvGmYRjTDcOYHhMT4+FTOzkXT+zHT6cM4KIJ/bhq2kBtzIjYMG45Ywgj+4ay8GcTTY/154vHEOTnzaS4MG49e7g2ZtUDZ6IABXx195namAsmxHHmsEjCA33508VjTct75ppJjOwbyg2nD2ZafKQ25vlrpjBtSB9mxEfy/M8naWP6RwRyxznDOGdUDPfO0583wEUT+jFtSB8unxxHgK+3aVxv99OJsYDrS7nqoXM792QajO0fyjmjYjhjeBRTBkVoY6YMjuTiCf2IDfXnr5ea17uFP5/I5MF9uO3MoUwdoq93i26ZwbCoIIZEBbLodn3H+Mxh0VwxOY5BfYL4x5Xm36uFV01kUJ8grpgcx1kj9deTK6YM4JJJ/bms4T8hhPAE9f/t3V+IXNUBx/HvD0MMIiXin6IWUttKwcQU46qUaoOJCX0qDcU364MvUZQiBcG8+ialSlHLUmiptpSWPuiLVC1qm6a14mqaSOpDUeKDsZoKRhQx/vn1Ye6a6WQzOzO7c+49md8HwmYOm8svw28vZ+89c48LXolo1nzttr1b0s+AX9le8n7c3NycFxYWimWLaMPc3BzpeZzulur5alxtWsn2Lv1y5SsmMdg/SS/anhvl3xadfAFI+imwBThg+44h33cUeH1g+Dzgv1OMNy215oZkn7YtwEsDYzXkXkqtuSHZp+106HnyTl9tmQfzbrA90m274pOvlZC0MOqssktqzQ3J3obkLi/Zy6std/JOX22ZV5I3j3SOiIiIKCiTr4iIiIiCapt8/bztABOqNTckexuSu7xkL6+23Mk7fbVlnjhvVWu+IiIiImpX25WviIiIiKpl8hURERFRUOnthcYi6Up6+z+eQ+9p+P+wXc0TKSVtAjYBr9oevlNwzKz0PGZBrT1Pv2MaOrvmS9L9wJn0NuA+Rm87ohuAT23/sM1sw0h6wvZ3JN0JbAceB74FvGH77nbTLa/WE2S/mk6W6Xk70vOyaut5rf2utdc1dFnSGcD3GHh/gcdsL71Z7bDjdXjytdf2t0cd7wpJz9jeJukvwPW2P2vG99m+tuV4Q9V2guxX8ckyPS8sPS+vtp7X2O/ael1blyX9GjgIPM3/v7/fsH3TuMfr8m3HBUnz9Ir0Hr3/6HZO3qKiay6T9AjwVXo/CB824+vaizSyK5c4ET4qaW8racaztvm6ixMny3lJ+1rMNIr0vLz0vLzael5jv2vrdW1d/rLtHwyM7Zf010kO1tkrXwCSrgC+Caynd4nvOdv72001nKQNfS+P2P5Y0tnAdbb/2FauUUi6DziLk0+QH9m+s81sy5H0H+ApYBtwqe0Pm/HOb1eRnpeVnrejpp7X2O/ael1blyXdBWwF/syJ93crsNf2j8c+XpcnX1HeUidIYE1X78MvGjhZvmn7eHOy/JHte9rKFd2UnsfpqKZe19hlSdcCl9N7b48BLwBfsf382MfK5CsWSVrq0SMCnrC9o3SecdScPcqquSs1Z4/pqq0bFeb9CXAB8ClwLnCL7aOL6wPHPV6X13xFee/T+/RGPwGbW8gyrsXsAhZ/o6gle5SVnsfpqLZe19blOdtbASRtBv7Q3IqcSCZf0e8VYJftY/2Dkv7UUp5x1Jw9yqq5KzVnj+mqrRu15V0jaa3t47YPStoF/AbYOMnBctsxPifpQuAd28cHxtdM8hyTkmrOHmXV3JWas8d01daNCvNeDRy2/Xbf2BnAjbZ/N/bxMvmKiIiIKCd7O0ZEREQUlMlXREREREGZfM0oSV+U9FtJr0l6UdJzknZJOlfSs5Lel/Rg2zkjVmJIz3c0r19uvo79UfGIrhjS86sl/bP5c6BZJB4dkDVfM0iSgL8DD9ueb8Y2AN8FfglcQW+T002272gtaMQKLNPzfcBbto+ot6nvk7Yvbi9txGSW6fkvgOO2P2kWuB8ALurigvZZk0dNzKZt9H4g5xcHbL8OPNC83Cfpa60ki1g9y/V80SFgnaQzbX9UMmDEKhi15+s48TytaFluO86mjXR3Q9uI1TJqz78P7M/EKyo1tOeSrpF0CHgZuDVXvbohk69A0kPNeoDO7f8VsVqW6rmkjcC9wO72kkWsnsGe237e9kbgKmCPpHXtJgzI5GtWHQK2LL6wfTuwHTi/tUQRq29ozyV9CXgUuNn2q60kjFi5kc7ntl8BPqC3njdalsnXbHqG3hqX2/rGzmorTMSUnLLnktYDjwN7bP+tjXARq2RYzy+RtKb5+wbg68Dh4gnjJPm044xqPvlyP3ANcJTeb0Tztn8v6TDwBWAt8C6w0/a/2soaMalT9Ry4FNgD/Lvv23f2bx0SUYshPV8L3A18DHwG3GP7sbZyxgmZfEVEREQUlNuOEREREQVl8hURERFRUCZfEREREQVl8hURERFRUCZfEREREQVl8hURERFRUCZfEREREQVl8hURERFR0P8AguD1zlEbVoQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x432 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.plotting import scatter_matrix\n",
    "grades = train1[['G1','G2','G3']]\n",
    "scatter_matrix(grades)\n",
    "plt.savefig('grades.png', bbox_inches='tight')\n",
    "plt.show()"
=======
   "execution_count": 419,
   "metadata": {},
   "outputs": [],
   "source": [
    "train1 = pd.read_csv('features.csv')"
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# One Hot Encoding on Final Grade"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 296,
=======
   "execution_count": 420,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "le=preprocessing.LabelEncoder()"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 297,
=======
   "execution_count": 421,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "le.fit(train1['FinalGrade'])\n",
    "train1['FinalGrade']=le.transform(train1['FinalGrade'])\n",
    "y=train1['FinalGrade']\n",
    "# train1 = train1.drop(labels=['Regularity','Grade1','Grade2'],axis=1)\n"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 298,
=======
   "execution_count": 422,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "train1 = pd.get_dummies(train1)\n"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 299,
=======
   "execution_count": 423,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [
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      ],
      "text/plain": [
       "   age  Medu  Fedu  traveltime  studytime  failures  famrel  freetime  goout  \\\n",
       "0   18     4     4           2          2         0       4         3      4   \n",
       "1   17     1     1           1          2         0       5         3      3   \n",
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       "3   15     4     2           1          3         0       3         2      2   \n",
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       "9   15     3     4           1          2         0       5         5      1   \n",
       "\n",
       "   Dalc         ...           Grade1_Excellent  Grade1_Failure  Grade1_Good  \\\n",
       "0     1         ...                          0               1            0   \n",
       "1     1         ...                          0               0            0   \n",
       "2     2         ...                          0               0            0   \n",
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       "5     1         ...                          0               0            0   \n",
       "6     1         ...                          0               0            0   \n",
       "7     1         ...                          0               0            0   \n",
       "8     1         ...                          0               0            1   \n",
       "9     1         ...                          0               0            0   \n",
       "\n",
       "   Grade1_Poor  Grade1_Satisfactory  Grade2_Excellent  Grade2_Failure  \\\n",
       "0            0                    0                 0               0   \n",
       "1            1                    0                 0               0   \n",
       "2            0                    1                 0               0   \n",
       "3            0                    1                 0               0   \n",
       "4            0                    1                 0               0   \n",
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       "6            0                    1                 0               0   \n",
       "7            1                    0                 0               0   \n",
       "8            0                    0                 0               0   \n",
       "9            0                    1                 0               0   \n",
       "\n",
       "   Grade2_Good  Grade2_Poor  Grade2_Satisfactory  \n",
       "0            0            0                    1  \n",
       "1            0            0                    1  \n",
       "2            0            0                    1  \n",
       "3            0            0                    1  \n",
       "4            0            0                    1  \n",
       "5            0            0                    1  \n",
       "6            0            0                    1  \n",
       "7            0            0                    1  \n",
       "8            1            0                    0  \n",
       "9            0            0                    1  \n",
       "\n",
       "[10 rows x 76 columns]"
      ]
     },
<<<<<<< HEAD
     "execution_count": 299,
=======
     "execution_count": 423,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train1.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Feature Drop"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 300,
=======
   "execution_count": 424,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [
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       "   age  Medu  Fedu  traveltime  studytime  failures  famrel  freetime  goout  \\\n",
       "0   18     4     4           2          2         0       4         3      4   \n",
       "1   17     1     1           1          2         0       5         3      3   \n",
       "2   15     1     1           1          2         0       4         3      2   \n",
       "3   15     4     2           1          3         0       3         2      2   \n",
       "4   16     3     3           1          2         0       4         3      2   \n",
       "\n",
       "   Dalc         ...           Grade1_Excellent  Grade1_Failure  Grade1_Good  \\\n",
       "0     1         ...                          0               1            0   \n",
       "1     1         ...                          0               0            0   \n",
       "2     2         ...                          0               0            0   \n",
       "3     1         ...                          0               0            0   \n",
       "4     1         ...                          0               0            0   \n",
       "\n",
       "   Grade1_Poor  Grade1_Satisfactory  Grade2_Excellent  Grade2_Failure  \\\n",
       "0            0                    0                 0               0   \n",
       "1            1                    0                 0               0   \n",
       "2            0                    1                 0               0   \n",
       "3            0                    1                 0               0   \n",
       "4            0                    1                 0               0   \n",
       "\n",
       "   Grade2_Good  Grade2_Poor  Grade2_Satisfactory  \n",
       "0            0            0                    1  \n",
       "1            0            0                    1  \n",
       "2            0            0                    1  \n",
       "3            0            0                    1  \n",
       "4            0            0                    1  \n",
       "\n",
       "[5 rows x 70 columns]"
      ]
     },
<<<<<<< HEAD
     "execution_count": 300,
=======
     "execution_count": 424,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# y=train1.FinalGrade\n",
    "train1 = train1.drop(labels=['G3','FinalGrade','Fjob_at_home','Fjob_teacher','Pstatus_A','Pstatus_T'],axis=1)\n",
    "train1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SPLIT DATA "
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 301,
=======
   "execution_count": 425,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(783, 70)\n",
      "(783,)\n",
      "(261, 70)\n",
      "(261,)\n"
     ]
    }
   ],
   "source": [
    "x_train,x_val,y_train,y_val = train_test_split(train1,y,random_state=0)\n",
    "print(x_train.shape)\n",
    "print(y_train.shape)\n",
    "print(x_val.shape)\n",
    "print(y_val.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Confusion Matrix"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 302,
=======
   "execution_count": 426,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "def confusionmatrix(y_val,y_pred):\n",
    "    labels = list(range(0,5))\n",
    "    cm=confusion_matrix(y_val,y_pred)\n",
    "    a4_dims = (11.7, 8.27)\n",
    "    fig, ax = plt.subplots(figsize=a4_dims)\n",
    "    ax= plt.subplot()\n",
    "    sns.heatmap(cm, annot=True, ax = ax); #annot=True to annotate cells\n",
    "    # labels, title and ticks\n",
<<<<<<< HEAD
    "    ax.set_xlabel('Predicted labels');\n",
    "    ax.set_ylabel('True labels'); \n",
    "    ax.set_title('Confusion Matrix'); \n",
    "    ax.xaxis.set_ticklabels(labels); \n",
    "    ax.yaxis.set_ticklabels(labels);\n",
    "    plt.savefig('confusion_matrix.png', bbox_inches='tight')\n",
    "    \n",
=======
    "    ax.set_xlabel('Predicted labels');ax.set_ylabel('True labels'); \n",
    "    ax.set_title('Confusion Matrix'); \n",
    "    ax.xaxis.set_ticklabels(labels); ax.yaxis.set_ticklabels(labels);\n",
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
    "    FP = cm.sum(axis=0) - np.diag(cm)  \n",
    "    FN = cm.sum(axis=1) - np.diag(cm)\n",
    "    TP = np.diag(cm)\n",
    "    TN = cm.sum() - (FP + FN + TP)\n",
    "\n",
    "    total = lambda x : x.sum()/5\n",
    "    # Sensitivity, hit rate, recall, or true positive rate\n",
    "    TPR = TP/(TP+FN)\n",
    "    print('percentage of sensitivity = '+str(total(TPR)*100))\n",
    "\n",
    "    # Specificity or true negative rate\n",
    "    TNR = TN/(TN+FP) \n",
    "\n",
    "    # Precision or positive predictive value\n",
    "    PPV = TP/(TP+FP)\n",
    "    print('percentage of precision = '+str(total(PPV)*100))\n",
    "    # Negative predictive value\n",
    "    NPV = TN/(TN+FN)\n",
    "\n",
    "    # Fall out or false positive rate\n",
    "    FPR = FP/(FP+TN)\n",
    "\n",
    "    # False negative rate\n",
    "    FNR = FN/(TP+FN)\n",
    "\n",
    "    # False discovery rate\n",
    "    FDR = FP/(TP+FP)\n",
    "\n",
    "    # Overall accuracy\n",
    "    ACC = (TP+TN)/(TP+FP+FN+TN)\n",
    "    print('Accuracy percentage = '+str(total(ACC)*100))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ROC plot"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 303,
=======
   "execution_count": 427,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "def ROC_plot(x_train,x_val,model):\n",
    "    train = pd.read_csv('features.csv')\n",
    "    train.head()\n",
    "    y=train[['FinalGrade']]\n",
    "    train = train.drop(['G3'],axis=1);\n",
    "    train = train.drop(['FinalGrade'],axis=1);\n",
    "    train = train.drop(['G2'],axis=1);\n",
    "    train = train.drop(['G1'],axis=1);\n",
    "    y = label_binarize(y, classes=['Failure','Poor','Satisfactory','Good','Excellent'])\n",
    "    n_classes = y.shape[1]\n",
    "    \n",
    "    X_train, X_test, y_train, y_test = train_test_split(train,y,random_state=0)\n",
    "    \n",
    "    classifier = OneVsRestClassifier(model)\n",
    "    y_score = classifier.fit(x_train, y_train).decision_function(x_val)\n",
    "    y_score.shape\n",
    "    \n",
    "    fpr = dict()\n",
    "    tpr = dict()\n",
    "    roc_auc = dict()\n",
    "    for i in range(n_classes):\n",
    "        fpr[i], tpr[i], _ = roc_curve(y_test[:,i], y_score[:,i])\n",
    "        roc_auc[i] = auc(fpr[i], tpr[i])\n",
    "\n",
    "    # Compute micro-average ROC curve and ROC area\n",
    "    fpr[\"micro\"], tpr[\"micro\"], _ = roc_curve(y_test.ravel(), y_score.ravel())\n",
    "    roc_auc[\"micro\"] = auc(fpr[\"micro\"], tpr[\"micro\"])\n",
    "    \n",
    "    \n",
    "    # Individual ROC\n",
    "    plt.figure()\n",
    "    lw = 2\n",
    "    for i in (0,1):\n",
    "        plt.subplot(1,2,i+1)\n",
    "        plt.plot(fpr[i], tpr[i], color='darkorange',\n",
    "             lw=lw, label='ROC curve (area = %0.2f)' % roc_auc[i])\n",
    "        plt.plot([0, 1], [0, 1], color='navy', lw=lw, linestyle='--')\n",
    "        plt.xlim([0.0, 1.0])\n",
    "        plt.ylim([0.0, 1.05])\n",
    "        plt.xlabel('False Positive Rate')\n",
    "        plt.ylabel('True Positive Rate')\n",
    "        plt.title('Receiver operating characteristic label'+str(i))\n",
    "        plt.legend(loc=\"lower right\")\n",
<<<<<<< HEAD
    "    plt.savefig('ROC1.png', bbox_inches='tight')\n",
=======
    "\n",
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
    "    plt.plot()\n",
    "\n",
    "    plt.figure()\n",
    "    lw = 2\n",
    "    for i in (2,3):\n",
    "        plt.subplot(1,2,i-1)\n",
    "        plt.plot(fpr[i], tpr[i], color='red',\n",
    "             lw=lw, label='ROC curve (area = %0.2f)' % roc_auc[i])\n",
    "        plt.plot([0, 1], [0, 1], color='navy', lw=lw, linestyle='--')\n",
    "        plt.xlim([0.0, 1.0])\n",
    "        plt.ylim([0.0, 1.05])\n",
    "        plt.xlabel('False Positive Rate')\n",
    "        plt.ylabel('True Positive Rate')\n",
    "        plt.title('Receiver operating characteristic label'+str(i))\n",
    "        plt.legend(loc=\"lower right\")\n",
<<<<<<< HEAD
    "    plt.savefig('ROC2.png', bbox_inches='tight')\n",
=======
    "\n",
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
    "    plt.plot()\n",
    "\n",
    "    plt.figure()\n",
    "    lw = 2\n",
    "    plt.subplot(1,2,1)\n",
    "    plt.plot(fpr[4], tpr[4], color='grey',\n",
    "         lw=lw, label='ROC curve (area = %0.2f)' % roc_auc[4])\n",
    "    plt.plot([0, 1], [0, 1], color='navy', lw=lw, linestyle='--')\n",
    "    plt.xlim([0.0, 1.0])\n",
    "    plt.ylim([0.0, 1.05])\n",
    "    plt.xlabel('False Positive Rate')\n",
    "    plt.ylabel('True Positive Rate')\n",
    "    plt.title('Receiver operating characteristic label'+str(4))\n",
    "    plt.legend(loc=\"lower right\")\n",
<<<<<<< HEAD
    "    plt.savefig('ROC3',box_inches='tight')\n",
=======
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
    "    plt.plot()\n",
    "    \n",
    "    \n",
    "    # Combined ROC\n",
    "    \n",
    "    # Compute macro-average ROC curve and ROC area\n",
    "\n",
    "    # First aggregate all false positive rates\n",
    "    all_fpr = np.unique(np.concatenate([fpr[i] for i in range(n_classes)]))\n",
    "\n",
    "    # Then interpolate all ROC curves at this points\n",
    "    mean_tpr = np.zeros_like(all_fpr)\n",
    "    for i in range(n_classes):\n",
    "        mean_tpr += interp(all_fpr, fpr[i], tpr[i])\n",
    "\n",
    "    # Finally average it and compute AUC\n",
    "    mean_tpr /= n_classes\n",
    "\n",
    "    fpr[\"macro\"] = all_fpr\n",
    "    tpr[\"macro\"] = mean_tpr\n",
    "    roc_auc[\"macro\"] = auc(fpr[\"macro\"], tpr[\"macro\"])\n",
    "\n",
    "    # Plot all ROC curves\n",
    "    plt.figure()\n",
    "    plt.plot(fpr[\"micro\"], tpr[\"micro\"],\n",
    "             label='micro-average ROC curve (area = {0:0.2f})'\n",
    "                   ''.format(roc_auc[\"micro\"]),\n",
    "             color='deeppink', linestyle=':', linewidth=4)\n",
    "\n",
    "    plt.plot(fpr[\"macro\"], tpr[\"macro\"],\n",
    "             label='macro-average ROC curve (area = {0:0.2f})'\n",
    "                   ''.format(roc_auc[\"macro\"]),\n",
    "             color='navy', linestyle=':', linewidth=4)\n",
    "\n",
    "    for i in range(n_classes):\n",
    "        plt.plot(fpr[i], tpr[i], lw=2,\n",
    "                 label='ROC curve of class {0} (area = {1:0.2f})'\n",
    "                 ''.format(i, roc_auc[i]))\n",
    "        print('Area Under the Curve with label '+str(i)+' is '+str(roc_auc[i]))\n",
<<<<<<< HEAD
    "    plt.savefig('ROC4', bbox_inches='tight')\n",
=======
    "\n",
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
    "    plt.plot([0, 1], [0, 1], 'k--', lw=2)\n",
    "    plt.xlim([0.0, 1.0])\n",
    "    plt.ylim([0.0, 1.05])\n",
    "    plt.xlabel('False Positive Rate')\n",
    "    plt.ylabel('True Positive Rate')\n",
    "    plt.title('Some extension of Receiver operating characteristic to multi-class')\n",
    "    plt.legend(loc=\"lower right\")\n",
    "    plt.rcParams[\"figure.figsize\"] = (10,6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fscore"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 304,
=======
   "execution_count": 428,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "def Fscore(y_val,y_pred):\n",
    "    print('f score = ' + str(f1_score(y_val, y_pred, average=\"macro\")))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Recall"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 305,
=======
   "execution_count": 429,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "def recall(y_val,y_pred):\n",
    "    print('percentage of recall score = '+str(recall_score(y_val, y_pred, average=\"macro\"))) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Classification Report"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 306,
=======
   "execution_count": 430,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "def report(y_val,y_pred):\n",
    "    target_names = ['Failure','Poor','Satisfactory','Good','Excellent']\n",
    "    print('Classification Report')\n",
    "    print(classification_report(y_val, y_pred, target_names=target_names))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# F Beta score"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 307,
=======
   "execution_count": 431,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "def fbeta(y_val,y_pred):\n",
    "    print('Fbeta score = ' + str(fbeta_score(y_val,y_pred,average='macro', beta=0.5)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LOGISTIC REGRESSION "
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 308,
=======
   "execution_count": 432,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "def logistic_regression_model(x_train,y_train,x_val,y_val):\n",
    "    lr =  LogisticRegression()\n",
    "    lr.fit(x_train,y_train)\n",
    "    y_pred = lr.predict(x_val)\n",
    "    y_predict = lr.predict_proba(x_val)\n",
    "    print(\"Log_Loss: \",log_loss(y_val,y_predict))\n",
    "    print(\"Accuracy_Score: \",accuracy_score(y_val,y_pred))\n",
    "    confusionmatrix(y_val,y_pred)\n",
    "    Fscore(y_val,y_pred)\n",
    "    recall(y_val,y_pred)\n",
    "    report(y_val,y_pred)\n",
    "    fbeta(y_val,y_pred)\n",
    "    return lr"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 309,
=======
   "execution_count": 433,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:459: FutureWarning: Default multi_class will be changed to 'auto' in 0.22. Specify the multi_class option to silence this warning.\n",
      "  \"this warning.\", FutureWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Log_Loss:  0.5178333435977416\n",
      "Accuracy_Score:  0.8199233716475096\n",
      "percentage of sensitivity = 70.95730466462173\n",
      "percentage of precision = 77.88758418612787\n",
      "Accuracy percentage = 92.7969348659004\n",
      "f score = 0.7343548463023113\n",
      "percentage of recall score = 0.7095730466462173\n",
      "Classification Report\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "     Failure       0.67      0.67      0.67         6\n",
      "        Poor       0.67      0.40      0.50        15\n",
      "Satisfactory       0.94      0.73      0.82        41\n",
      "        Good       0.78      0.88      0.82        91\n",
      "   Excellent       0.85      0.87      0.86       108\n",
      "\n",
      "   micro avg       0.82      0.82      0.82       261\n",
      "   macro avg       0.78      0.71      0.73       261\n",
      "weighted avg       0.82      0.82      0.82       261\n",
      "\n",
      "Fbeta score = 0.7578307657748581\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n",
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Area Under the Curve with label 0 is 0.9533875338753388\n",
      "Area Under the Curve with label 1 is 0.922365869424693\n",
      "Area Under the Curve with label 2 is 0.8939118857419512\n",
      "Area Under the Curve with label 3 is 0.978381374722838\n",
      "Area Under the Curve with label 4 is 0.9928104575163399\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model =logistic_regression_model(x_train,y_train,x_val,y_val)\n",
    "ROC_plot(x_train,x_val,model)"
   ]
  },
  {
<<<<<<< HEAD
   "cell_type": "code",
   "execution_count": 310,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = 'pickle/model_lr.pkl'\n",
    "outfile = open(filename,'wb')\n",
    "pickle.dump(model,outfile)\n",
    "outfile.close()"
   ]
  },
  {
=======
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# RANDOM FOREST"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 311,
=======
   "execution_count": 434,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "def random_forest_model(x_train,y_train,x_val,y_val):\n",
    "    random_forest = RandomForestClassifier(n_estimators=28,max_depth=5,random_state=0)\n",
    "\n",
    "    forest = random_forest.fit(x_train, y_train)\n",
    "    print(\"Random Forest Train data Score\" , \":\" , forest.score(x_train, y_train) \n",
    "          , \",\" ,\"Validation data Score\" ,\":\" , forest.score(x_val, y_val))\n",
    "    Y_pred = random_forest.predict_proba(x_val)\n",
    "    Y_pred1 = random_forest.predict(x_val)\n",
    "    print(\"Log_Loss: \",log_loss(y_val,Y_pred))\n",
    "    confusionmatrix(y_val,Y_pred1)\n",
    "    Fscore(y_val,Y_pred1)\n",
    "    recall(y_val,Y_pred1)\n",
    "    report(y_val,Y_pred1)\n",
    "    fbeta(y_val,Y_pred1)\n",
    "    return forest"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 312,
=======
   "execution_count": 435,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Random Forest Train data Score : 0.8620689655172413 , Validation data Score : 0.8160919540229885\n",
      "Log_Loss:  0.5500067951388179\n",
      "percentage of sensitivity = 70.73752444484151\n",
      "percentage of precision = 79.21069755335762\n",
      "Accuracy percentage = 92.64367816091955\n",
      "f score = 0.7359310376186469\n",
      "percentage of recall score = 0.7073752444484152\n",
      "Classification Report\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "     Failure       0.67      0.67      0.67         6\n",
      "        Poor       0.75      0.40      0.52        15\n",
      "Satisfactory       0.94      0.73      0.82        41\n",
      "        Good       0.77      0.87      0.82        91\n",
      "   Excellent       0.83      0.87      0.85       108\n",
      "\n",
      "   micro avg       0.82      0.82      0.82       261\n",
      "   macro avg       0.79      0.71      0.74       261\n",
      "weighted avg       0.82      0.82      0.81       261\n",
      "\n",
      "Fbeta score = 0.7646814768245026\n"
     ]
    },
    {
     "data": {
      "image/png": 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LOSqV8hmqbFt9YCgzpj/KW2++RWtrK9P+/iCj9t8z77BUwmdIHen2RDAivtTd18xT06ABPDd/4cr1+QuaaWoakGNEKrXFkM148YWX+Nkl53HLndfy43Hnss666+Qdlkr4DFW2J2Y/yU4fH8EG/frSa51e7PGp3RgwaNO8w1IJn6Eysmk4k3NWtyMixkbEAxHxQFvb690ZU9lExLu2pVT9o4xqRWOPHnxk+IeYcPkkRu1+CG++8SYnnPzlvMNSCZ+hyjb3iacZ//MJXHHNJfxq0s+ZM/NxWpe35h2WSvgMqSNlmT4mIv6xul3Aav+pmFIaD4wHaFxrUE38X7pgfjObDW5auT540ECam5/PMSKVWrjweZoXPs9D0wv/y94w5Ra+cZKJYCXxGap81/xuCtf8bgoAp5x5PIsWLs45IpXyGSqf5PQxq7Up8AVg9CqWF8t0zYo07YEZDBs2lCFDNqNnz54cdtjBXH/DLXmHpaIli19g4fxFbDVsCACf2GMXHn9sbr5B6R18hirfhhv3A2DgoAGMOmAvbrjuppwjUimfIXWkXBNK3wD0TinNaL8jIu4o0zUrUmtrKyeedBY3Tr2KHg0NXDFhErNmPZ53WCpx5rfP4+Jf/pCea/Xk2afnc9LXz8w7JJXwGap8F/36R/Tr15eWluWc8+3vO+CqwvgMlVENVASjUvsJ1ErTcK3qv27fvENQJ5a8sTTvENSBoX3trF/p5i1dlHcI6sDytxe8u/NjN1v2jf3Llqv0uejGbvl+Th8jSZJUp3zXsCRJUhY10DRsRVCSJKlOWRGUJEnKwoqgJEmSqpUVQUmSpAwqdeaV98JEUJIkKQubhiVJklStrAhKkiRlYUVQkiRJ1cqKoCRJUgbJiqAkSZKqlRVBSZKkLKwISpIkqVpZEZQkScqiLe8A3j8TQUmSpAwcLCJJkqSqZUVQkiQpCyuCkiRJqlZWBCVJkrKogcEiVgQlSZKqTERsEBHXRMSciJgdER+PiA0j4taIeKL4a7/OzmMiKEmSlEFqS2VbuuBC4KaU0jbAcGA2cDpwW0ppa+C24nqHTAQlSZKyaCvj0oGIWB/YHbgcIKX0dkrpFeBgYELxsAnAmM6+gomgJElShYmIsRHxQMkytmT3lsAS4NcR8VBEXBYR6wGbppSaAYq/btLZdRwsIkmSlEE5J5ROKY0Hxq9mdyOwA3BCSum+iLiQLjQDr4oVQUmSpOoyH5ifUrqvuH4NhcTw+YgYCFD8dXFnJzIRlCRJyiKnPoIppUXAcxHxweKmvYFZwJ+AY4rbjgGmdPYVbBqWJEmqPicAv4uItYCngC9RKPBNjohjgWeBQzs7iYmgJElSBinHCaVTSjOAHVexa+/3ch4TQUmSpCx8s4gkSZKqlRVBSZKkDPJsGl5TrAhKkiTVKSuCkiRJWVgRlCRJUrWyIihJkpRBLfQRNBGUJEnKoBYSQZuGJUmS6pQVQUmSpAysCEqSJKlqVWxFsGePig1NwJI3luYdgjpxRtPIvENQB85feEfeIagTQ/sOyDsEVboUeUfwvlkRlCRJqlOW3SRJkjKohT6CJoKSJEkZpDabhiVJklSlrAhKkiRlUAtNw1YEJUmS6pQVQUmSpAyS08dIkiSpWlkRlCRJyqAW+giaCEqSJGXg9DGSJEmqWlYEJUmSMkgp7wjePyuCkiRJdcqKoCRJUgb2EZQkSVLVsiIoSZKUQS1UBE0EJUmSMnCwiCRJkqqWFUFJkqQMaqFpuNOKYER8JiL6FH8+PSImR8T25Q9NkiRJ5dSVpuHvppSWRcSuwGhgEnBpecOSJEmqbClF2Zbu0pVEsLX464HAJSmla4G1yxeSJEmSukNX+gg2R8TFwL7AjhGxFg4ykSRJdS615R3B+9eVRPAwYH/g5ymllyOiCTi9vGFJkiRVtrZubMItl9UmghGxfsnqTSXbXgP+Vua4JEmSVGYdVQRnAgkoTXdXrCdg8zLGJUmSVNG6c1BHuaw2EUwpbdadgUiSJKl7dWlC6Yg4AtgypXR+RAwGNk0pTS9vaJIkSZWrXiaUvgjYE/h8cdMbOI+gJElS1etKRXDXlNIOEfEQQErppeIUMpIkSXUrpbwjeP+6kgi2REQDhQEiRMRGQA3MnCNJkpRdXTQNAxcD1wL9I+Ic4G7gB2WNSpIkSWXXaUUwpfSbiJgOfKq46dCU0qPlDUuSJKmy1fSE0u30AFooNA/7ejlJkqQa0JVRw2cCE4EmYDBwVUR8p9yBSZIkVbKUomxLd+lKRfBo4GMppTcAIuI8YDrwP+UMTJIkSeXVlUTwmXbHNQJPlSccSZKk6lDT08dExE8p9Al8A5gZETcX10dRGDksSZJUt2p9sMiKkcEzgakl2+8tXziSJEnqLqtNBFNKl3dnIJIkSdWkOwd1lEtXRg1vFRFXR8Q/IuLxFUt3BFcLBg8eyE03Xc1DD93G9Om3cvzxX8o7JLWzz6iRzHz0TubMupvTTj0+73AENK7dk7F/PJev//l8vnHLD9jz5EMA2GBwf8b+8RxOvP0nHHrRCfTo2SPnSAU+Q9XgmLFHMvXOSdx412S+eNyReYejCtKVOQGvAH4NBLAfMBm4uowx1ZTly1s5/fTvMWLE3uyxxxiOO+4LbLPN1nmHpaKGhgbGXXgeB44+mo8M35PDDx/Dttt6f/K2/J8tXPG587hkvzO4ZP8z2HqPjzJ4xDBGnX4Ef7/8z1y457d4a+nr7HD4yLxDrXs+Q5Vv62224rCjx3DIPscweuSRjPz0J9liy83yDqsmpFS+pbt0JRFcN6V0M0BKaW5K6Sxgz84+FBHbRMTeEdG73fZ9s4VanRYtWsyMGYXulq+99jpz5jxJU9OmOUelFXbeaQRz5z7NvHnP0tLSwuTJUzho9D55hyXg7Tf+CUCPxh40NPaAlBi663bMuvF+AGZceyfbjtoxzxCFz1A12OoDQ5kx/VHeevMtWltbmfb3Bxm1f6d/jatOdCUR/GdEBDA3Ir4aEaOBTTr6QER8E5gCnAA8GhEHl+w+P3O0VW7zzQez/fbbMW3ajLxDUVHToAE8N3/hyvX5C5ppahqQY0RaIRqCr914PqdN/1/m3v0oLz3zPG+9+jptrW0ALG1+iT6b9ss5SvkMVb4nZj/JTh8fwQb9+tJrnV7s8andGDDIgsSa0JaibEt36co8gicDvYFvAucBfYH/6OQzX6EwCfVrETEEuCYihqSULqTQxLxKETEWGAvQ2LghjY29V3do1VlvvXWZOPFSTj31XJYtey3vcFRU+DfOO6VamBiqBqS2xP/ufwa91l+XI39xMv2HDVrFQd0fl97JZ6jyzX3iacb/fAJXXHMJb7z+BnNmPk7r8ta8w1KF6DQRTCndV/xxGfD5Lp63R0rpteLnn46IkRSSwS3oIBFMKY0HxgOss84WNfMnSWNjIxMnXsqkSX9kypSb8g5HJRbMb2azwU0r1wcPGkhz8/M5RqT23nr1DebdO5vBI4bRa/31aOjRQFtrG30HbsiyxS/nHV7d8xmqDtf8bgrX/G4KAKeceTyLFi7OOaLaUNOjhiPiDxFx3eqWTs67KCK2X7FSTAoPBDYGPrJmQq8el176Qx577EnGjbss71DUzrQHZjBs2FCGDNmMnj17cthhB3P9DbfkHVbdW3fDPvRaf12gMIJ4q922Y8mTC5l3zyw+tP/OAGx/yO7MvmV6nmEKn6FqseHGhW4UAwcNYNQBe3HDdRYl1oRabxq+6H2c9wvA8tINKaXlwBci4hfv47xVZ9ddd+Soow7hkUdmc++9NwJw9tk/4uabb885MgG0trZy4klncePUq+jR0MAVEyYxa5azI+WtzyYb8JmffJVoaCAagplT7+PxvzzEkifmc+jPT2Dvbx1K88xneHDyHXmHWvd8hqrDRb/+Ef369aWlZTnnfPv7vLp0Wd4hqUJEpfblqKWm4VrU0rq884OUqzOaRuYdgjpw/sI78g5BnRja10EvleyJJdNzb5e9t+kzZctVdll4Xbd8v66MGpYkSVIN6sqoYUmSJLXTnX35yqXLFcGIWLucgUiSJKl7deVdwztHxCPAE8X14RHx87JHJkmSVMFSirIt3aUrFcFxFKZ+eREgpfQwXXjFnCRJUi1rK+PSXbqSCDaklJ5pt80pySVJkqpcVwaLPBcROwMpInpQeH+wk0RJkqS6llb/srSq0ZWK4NeAU4DNgeeBXYrbJEmSVMW68q7hxcAR3RCLJElS1WirgVdfdJoIRsQvgXd91ZTS2LJEJEmSpG7RlT6C/1fycy/g34HnyhOOJElSdWirgT6CXWkanlS6HhFXAreWLSJJkqQqUC+DRdobCmyxpgORJElS9+pKH8GX+VcfwQbgJeD0cgYlSZJU6bpz4udy6TARjIgAhgMLipvaUko1MEZGkiRJHSaCKaUUEX9IKX2suwKSJEmqBvXSR/D+iNih7JFIkiSpW622IhgRjSml5cAngK9ExFzgdSAoFAtNDiVJUt2q9T6C9wM7AGO6KRZJkqSqUeuJYACklOZ2UyySJEnqRh0lgv0j4pTV7UwpXVCGeCRJkqpCLQwW6SgR7AH0hhr4lpIkSXqXjhLB5pTSud0WiSRJUhVpq4FSWUfTx9TA15MkSdLqdFQR3LvbopAkSaoybTVQM1ttRTCl9FJ3BiJJklRNUhmXroiIHhHxUETcUFwfGhH3RcQTETEpItbq7BxdebOIJEmSKs+JwOyS9R8AP00pbQ28DBzb2QlMBCVJkjJoK+PSmYgYDBwAXFZcD2Av4JriIRPowktBTAQlSZIqTESMjYgHSpax7Q75GXAa/8obNwJeKb4eGGA+MKiz63Q0WESSJEmr0RblGyySUhoPjF/Vvog4EFicUpoeESNXbF7VaTq7jomgJElSddkNOCgi9gd6AetTqBBuEBGNxargYGBhZyeyaViSJCmDvEYNp5S+k1IanFIaAhwB/CWldBRwO/DZ4mHHAFM6+w4mgpIkSRnkOVhkNb4NnBIRT1LoM3h5Zx+waViSJKlKpZTuAO4o/vwUsPN7+byJoCRJUga1/q5hSZIk1TArgpIkSRnU9LuGJUmSVNusCEqSJGXQ6WzNVaBiE8GW1uWdH6Tc9OxRsf/rqOj8hXfkHYI6sGzSCXmHoE7scNx1eYegCudgEUmSJFUtyzqSJEkZvI+JnyuGFUFJkqQ6ZUVQkiQpg1oYLGJFUJIkqU5ZEZQkScqgFkYNmwhKkiRl4GARSZIkVS0rgpIkSRlYEZQkSVLVsiIoSZKUQaqBwSJWBCVJkuqUFUFJkqQMaqGPoImgJElSBrWQCNo0LEmSVKesCEqSJGXgu4YlSZJUtawISpIkZVAL7xq2IihJklSnrAhKkiRlUAujhk0EJUmSMqiFRNCmYUmSpDplRVCSJCkDp4+RJElS1bIiKEmSlIHTx0iSJKlqWRGUJEnKwFHDkiRJqlpWBCVJkjKohVHDJoKSJEkZtNVAKmjTsCRJUp2yIihJkpSBg0UkSZJUtawISpIkZVD9PQStCEqSJNUtK4KSJEkZ1EIfQRNBSZKkDHzXsCRJkqqWFUFJkqQMnFBakiRJVcuKoCRJUgbVXw80EewW+4wayQUXnEuPhgZ+9euJ/PBHF+cdkooGDx7IZZf9lE037U9bWxu/+tVVXHzxr/MOS+34DFWWp5cs5bSr7li5vuClZXzt0yPYacuBnPfHv/PGP1to6teH84/Ynd691sotznr2vZ+dxchPf4KXXniZg/Y4EoC+G6zPBb88j0GbDWTBc82c/OUzeHXpspwjVd5sGi6zhoYGxl14HgeOPpqPDN+Tww8fw7bbbp13WCpavryV00//HiNG7M0ee4zhuOO+wDbbeH8qic9Q5RnSvy+TTzyYyScezMQTRtOrZyN7bbcF51z3N765745cc/K/s9d2mzPhzkfzDrVu/fHqqYw94sR3bPvKN4/hnjunse8un+WeO6fxlW8ek1N0taOtjEt3KVsiGBE7R8ROxZ8/FBGnRMT+5bpepdp5pxHMnfs08+Y9S0tLC5MnT+Gg0fvkHZaKFi1azIwZhb+sXnvtdebMeZKmpk1zjkqlfIYq231PNjN4oz409evNM0uW8rGhhednl62buO3Rp/MNro49cO8PaxHqAAAR6UlEQVRDvPLKq+/Ytte+uzNl0lQApkyayt777ZFHaDWljVS2pbuUJRGMiLOBccD/RsT/ABcBvYHTI+LMclyzUjUNGsBz8xeuXJ+/oJmmpgE5RqTV2XzzwWy//XZMmzYj71BUwmeost388Dz2Gz4UgK023YA7Zj0LwK2PPM2iV17PMzS1s1H/DVmy+EUAlix+kQ037pdzRKoE5aoIfhbYDdgdOB4Yk1I6F9gHOHx1H4qIsRHxQEQ80NZWG3+ARLx7tsmUaqF7aW1Zb711mTjxUk499VyWLXst73BUwmeocrUsb+Wvs5/l0x8pJILnfPYTTLp3Dkf+/E+8/s8Wejb2yDlCqbxSGZfuUq7BIstTSq3AGxExN6X0KkBK6c2IWG3Td0ppPDAeoHGtQTXxJ/2C+c1sNrhp5frgQQNpbn4+x4jUXmNjIxMnXsqkSX9kypSb8g5H7fgMVa67H5vPNoM2YqM+6wAwdJMNuPTYQrP9M0uWctec+XmGp3ZeXPIS/TfZiCWLX6T/Jhvx0gsv5x2SKkC5KoJvR8S6xZ8/tmJjRPSlNl7N12XTHpjBsGFDGTJkM3r27Mlhhx3M9TfckndYKnHppT/ksceeZNy4y/IORavgM1S5bnp4HvsO33Ll+kuvvQlAW1vil395mEP/7YN5haZV+MvNd3Lw4QcAcPDhB/CXm+7MOaLqVwuDRcpVEdw9pfRPgJRS6ffpCdTVMKXW1lZOPOksbpx6FT0aGrhiwiRmzXo877BUtOuuO3LUUYfwyCOzuffeGwE4++wfcfPNt+ccmVbwGapMb769nHufXMhZn9l15bY/z3iKSffOAWDv7bbg4B0d3Z2XH1/63+y828fYYMMNuH3G9Vz0w19y2bjfcMEvz+ezRx3EwvnPc/KXv5N3mKoAUal9bWqlabhW9ezhFJSVrqV1ed4hqAPLJp2QdwjqxA7HXZd3COrA7MX3v7sDcTc7ZcgRZctVLnj66m75fv5tLkmSlEEtVKycUFqSJKlOWRGUJEnKoBZGv1oRlCRJqlNWBCVJkjJINdBL0IqgJElSnbIiKEmSlEEt9BE0EZQkScqgzaZhSZIkVSsrgpIkSRlUfz3QiqAkSVLdsiIoSZKUgX0EJUmSVLWsCEqSJGXg9DGSJEl1yjeLSJIkqWpZEZQkScqgFpqGrQhKkiTVKSuCkiRJGdhHUJIkSVXLiqAkSVIGtdBH0ERQkiQpg7Zk07AkSZKqlBVBSZKkDKq/HmhFUJIkqW5ZEZQkScqgrQZqglYEJUmS6pQVQUmSpAxqYUJpE0FJkqQMamEeQZuGJUmS6pQVQUmSpAwcLCJJkqRuFRGbRcTtETE7ImZGxInF7RtGxK0R8UTx136dnctEUJIkKYNUxv86sRz4VkppW2AX4PiI+BBwOnBbSmlr4LbieodMBCVJkqpISqk5pfRg8edlwGxgEHAwMKF42ARgTGfnso+gJElSBuUcNRwRY4GxJZvGp5TGr+K4IcAI4D5g05RSMxSSxYjYpLPrmAhKkiRlkFL5BosUk753JX6lIqI3cC1wUkrp1Yh4z9exaViSJKnKRERPCkng71JK1xU3Px8RA4v7BwKLOzuPiaAkSVIGbaSyLR2JQunvcmB2SumCkl1/Ao4p/nwMMKWz72DTsCRJUnXZDfg88EhEzChuOwP4PjA5Io4FngUO7exEJoLKpKV1ed4hSFVtr2/cnHcI6sQ/Zl2ddwiqcHm9Yi6ldDewug6Be7+Xc9k0LEmSVKesCEqSJGXQhYmfK56JoCRJUga+a1iSJElVy4qgJElSBuWcULq7WBGUJEmqU1YEJUmSMshr+pg1yYqgJElSnbIiKEmSlEEtTB9jRVCSJKlOWRGUJEnKoBbmETQRlCRJysDpYyRJklS1rAhKkiRlUAtNw1YEJUmS6pQVQUmSpAycPkaSJElVy4qgJElSBm01MGrYRFCSJCmD6k8DbRqWJEmqW1YEJUmSMnD6GEmSJFUtK4KSJEkZWBGUJElS1bIiKEmSlEFy+hhJkqT6ZNOwJEmSqpYVQUmSpAx817AkSZKqlhVBSZKkDGphsIgVQUmSpDplRVCSJCmDWhg1bCIoSZKUgU3DkiRJqlpWBCVJkjKohaZhK4KSJEl1yoqgJElSBk4oLUmSpKplRVCSJCmDthoYNWwiKEmSlIFNw5IkSapaJoLdYJ9RI5n56J3MmXU3p516fN7hqB3vT+XzHlWeM39yGlMfvo7f3vard+373HGHcc+C2+nbb/0cItMKV07+I2OO/ioHH3UcV076wzv2/fqqa/jwbvvx8itLc4quNrSlVLalu5gIlllDQwPjLjyPA0cfzUeG78nhh49h2223zjssFXl/Kp/3qDJNnXwTJx/17Xdt36SpPzvtviPN8xflEJVWeOKpp7n2Tzcx8bKfce2ES/jr3+/nmecWAND8/BLumfYQAzfdJOcoVQm6LRGMiN9017Uqyc47jWDu3KeZN+9ZWlpamDx5CgeN3ifvsFTk/al83qPKNOO+f/DqK6++a/uJ3z2ei8/7BTXQdaqqPfX0c3x0u21Yp1cvGht7sOP2H+G2O/8OwA/H/YJTvn4sETkHWQNSGf/rLmVJBCPiT+2W64HPrFgvxzUrVdOgATw3f+HK9fkLmmlqGpBjRCrl/al83qPq8YlP78qS5hd4ctbcvEOpe8O23ILpDz/KK0tf5c233uKue6ax6Pkl3H7XvWzSf2O22XrLvENUhSjXqOHBwCzgMgr/LgxgR+AnHX0oIsYCYwGiR18aGtYrU3jdJ1bxT65aeEl1rfD+VD7vUXVYu9fafPGbR3Pi507NOxQBWw3ZnP846lC+ctIZrLvOOnxg2Jb06NGD8b+5mvE/PS/v8GpGLUwfU66m4R2B6cCZwNKU0h3Amymlv6aU/rq6D6WUxqeUdkwp7VgLSSDAgvnNbDa4aeX64EEDaW5+PseIVMr7U/m8R9Vh8JAmBm4+gCtvvYzr7p1I/4H9ueLm8WzYv1/eodWtQ0bvw+9/fRETLvkRfdfvQ9PATVmwcBGHHPN1Rh1yDM8veYFD/+MEXnjxpbxDrVq10DRclopgSqkN+GlE/L746/Plulalm/bADIYNG8qQIZuxYMEiDjvsYD7/BUc9VgrvT+XzHlWHuXPmccDwz6xcv+7eiXxpv+NY+vK7+xGqe7z48its1G8Dmhct5ra//o3f/uICPn/YmJX7Rx1yDJMuH0e/DfrmGKXyVtbkLKU0Hzg0Ig4A6vJPg9bWVk486SxunHoVPRoauGLCJGbNejzvsFTk/al83qPKdM7FZ7HDx7dngw37MuWByVz24yu4/uob8w5LJU4+43u88uqrNDY2cua3vk7f9fvkHVLNqYWm4ajUvjaNaw2qzMAkaQ3Yqf8H8g5Bnbjz4cvzDkEd6LnxlrmPe95q4x3KlqvMfeHBbvl+ddlcK0mS9H75ijlJkiRVLSuCkiRJGRTGxlY3E0FJkqQM2mwaliRJUrWyIihJkpRBpc688l5YEZQkSapTVgQlSZIysI+gJEmSqpYVQUmSpAxqoY+giaAkSVIGtfCuYZuGJUmS6pQVQUmSpAx817AkSZKqlhVBSZKkDGphsIgVQUmSpDplRVCSJCmDWphQ2kRQkiQpA5uGJUmSVLWsCEqSJGXghNKSJEmqWlYEJUmSMrCPoCRJkqqWFUFJkqQMnD5GkiSpTtk0LEmSpKplRVCSJCkDp4+RJElS1bIiKEmSlEGqgcEiVgQlSZLqlBVBSZKkDOwjKEmSpKplRVCSJCmDWphH0ERQkiQpAweLSJIkqWpZEZQkScqgFpqGrQhKkiTVKRNBSZKkDFJKZVs6ExH7RsRjEfFkRJye9TuYCEqSJFWRiOgBXAzsB3wIODIiPpTlXCaCkiRJGaQyLp3YGXgypfRUSult4Grg4CzfoWIHiyx/e0HkHcOaFBFjU0rj845Dq+c9qmzen8rnPaps3p81r5y5SkSMBcaWbBpfcv8GAc+V7JsP/FuW61gR7D5jOz9EOfMeVTbvT+XzHlU2708VSSmNTyntWLKUJvGrSkAzDWE2EZQkSaou84HNStYHAwuznMhEUJIkqbpMA7aOiKERsRZwBPCnLCeq2D6CNch+GZXPe1TZvD+Vz3tU2bw/NSKltDwivgHcDPQAfpVSmpnlXFELs2JLkiTpvbNpWJIkqU6ZCEqSJNUpE8FusKZeA6PyiIhfRcTiiHg071j0bhGxWUTcHhGzI2JmRJyYd0z6l4joFRH3R8TDxftzTt4xadUiokdEPBQRN+QdiyqHiWCZrcnXwKhsrgD2zTsIrdZy4FsppW2BXYDjfYYqyj+BvVJKw4HtgX0jYpecY9KqnQjMzjsIVRYTwfJbY6+BUXmklO4EXso7Dq1aSqk5pfRg8edlFP4iG5RvVFohFbxWXO1ZXByFWGEiYjBwAHBZ3rGospgIlt+qXgPjX2JSBhExBBgB3JdvJCpVbHKcASwGbk0peX8qz8+A04C2vANRZTERLL819hoYqZ5FRG/gWuCklNKrecejf0kptaaUtqfwdoOdI+LDecekf4mIA4HFKaXpeceiymMiWH5r7DUwUr2KiJ4UksDfpZSuyzserVpK6RXgDuxzW2l2Aw6KiKcpdE/aKyJ+m29IqhQmguW3xl4DI9WjiAjgcmB2SumCvOPRO0VE/4jYoPjzOsCngDn5RqVSKaXvpJQGp5SGUPg76C8ppaNzDksVwkSwzFJKy4EVr4GZDUzO+hoYlUdETATuAT4YEfMj4ti8Y9I77AZ8nkIVY0Zx2T/voLTSQOD2iPgHhX/43ppScnoSqUr4ijlJkqQ6ZUVQkiSpTpkISpIk1SkTQUmSpDplIihJklSnTAQlSZLqlImgpJUiorU4PcujEfH7iFj3fZxrZETcUPz5oIg4vYNjN4iIr2e4xncj4j+7ur3dMVdExGffw7WGRMSj7zVGSapkJoKSSr2ZUto+pfRh4G3gq6U7o+A9/7mRUvpTSun7HRyyAfCeE0FJ0vtjIihpde4ChhUrYbMj4hLgQWCziBgVEfdExIPFymFvgIjYNyLmRMTdwGdWnCgivhgRFxV/3jQi/hARDxeXXYHvA1sVq5E/Kh53akRMi4h/RMQ5Jec6MyIei4j/Az7Y2ZeIiK8Uz/NwRFzbrsr5qYi4KyIeL76PlYjoERE/Krn2cas453YRcX8x3n9ExNbv/bdXkvJnIijpXSKiEdgPeKS46YPAb1JKI4DXgbOAT6WUdgAeAE6JiF7AL4HRwCeBAas5/Tjgryml4cAOwEzgdGBusRp5akSMArYGdga2Bz4WEbtHxMcovCJrBIVEc6cufJ3rUko7Fa83Gyh9c8wQYA/gAODS4nc4FliaUtqpeP6vRMTQduf8KnBhSml7YEcK7xSXpKrTmHcAkirKOhExo/jzXRTe8dsEPJNSure4fRfgQ8DfCq8BZi0Kr+jbBpiXUnoCoPhS+7GruMZewBcAUkqtwNKI6NfumFHF5aHiem8KiWEf4A8ppTeK1+jKe7s/HBHfo9D83JvC6x5XmJxSagOeiIinit9hFPDRkv6DfYvXfrzkc/cAZ0bEYAqJ5hNdiEOSKo6JoKRSbxarXCsVk73XSzdReJ/ske2O2x5YU++sDOB/Ukq/aHeNkzJc4wpgTErp4Yj4IjCyZF/7c6XitU9IKZUmjETEkJUHpXRVRNxHoZJ4c0R8OaX0l/cYlyTlzqZhSe/VvcBuETEMICLWjYgPAHOAoRGxVfG4I1fz+duArxU/2yMi1geWUaj2rXAz8B8lfQ8HRcQmwJ3Av0fEOhHRh0IzdGf6AM0R0RM4qt2+QyOioRjzlsBjxWt/rXg8EfGBiFiv9EMRsSXwVEppHPAn4KNdiEOSKo4VQUnvSUppSbGyNjEi1i5uPiul9HhEjAWmRsQLwN3Ah1dxihOB8RFxLNAKfC2ldE9E/K04Pcufi/0EtwXuKVYkXwOOTik9GBGTgBnAMxSarzvz/4D7isc/wjsTzseAvwKbAl9NKb0VEZdR6Dv4YBQuvgQY0+6chwNHR0QLsAg4twtxSFLFiZTWVEuOJEmSqolNw5IkSXXKRFCSJKlOmQhKkiTVKRNBSZKkOmUiKEmSVKdMBCVJkuqUiaAkSVKd+v+WUnd2F0wdmAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model = random_forest_model(x_train,y_train,x_val,y_val)"
   ]
  },
  {
<<<<<<< HEAD
   "cell_type": "code",
   "execution_count": 313,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = 'pickle/model_rf.pkl'\n",
    "outfile = open(filename,'wb')\n",
    "pickle.dump(model,outfile)\n",
    "outfile.close()"
   ]
  },
  {
=======
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SVM"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 314,
=======
   "execution_count": 436,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "def SVM_Model(X_train,Y_train,X_test,y_val):\n",
    "    svc = SVC()\n",
    "    svc.fit(X_train, Y_train)\n",
    "    Y_pred = svc.predict(X_test)\n",
    "    print(\"SVM Train data Score\" , \":\" , svc.score(X_train, y_train)\n",
    "          , \",\" ,\"Validation data Score\" ,\":\" , svc.score(X_test, y_val))\n",
    "    confusionmatrix(y_val,Y_pred)\n",
    "    Fscore(y_val,Y_pred)\n",
    "    recall(y_val,Y_pred)\n",
    "    report(y_val,Y_pred)\n",
    "    fbeta(y_val,Y_pred)\n",
    "    return svc"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 315,
=======
   "execution_count": 437,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SVM Train data Score : 0.8876117496807152 , Validation data Score : 0.842911877394636\n",
      "percentage of sensitivity = 78.18728967509456\n",
      "percentage of precision = 88.32161708460966\n",
      "Accuracy percentage = 93.71647509578544\n",
      "f score = 0.8161781348992581\n",
      "percentage of recall score = 0.7818728967509456\n",
      "Classification Report\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "     Failure       0.83      0.83      0.83         6\n",
      "        Poor       1.00      0.53      0.70        15\n",
      "Satisfactory       0.94      0.78      0.85        41\n",
      "        Good       0.80      0.90      0.85        91\n",
      "   Excellent       0.85      0.86      0.85       108\n",
      "\n",
      "   micro avg       0.84      0.84      0.84       261\n",
      "   macro avg       0.88      0.78      0.82       261\n",
      "weighted avg       0.85      0.84      0.84       261\n",
      "\n",
      "Fbeta score = 0.8504002910604476\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n",
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n",
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n",
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n",
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/svm/base.py:196: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Area Under the Curve with label 0 is 0.97289972899729\n",
      "Area Under the Curve with label 1 is 0.9313510019392373\n",
      "Area Under the Curve with label 2 is 0.9340353425320745\n",
      "Area Under the Curve with label 3 is 0.987139689578714\n",
      "Area Under the Curve with label 4 is 0.9973856209150327\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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IZ7ECZ4zJkZo1S1OxYgTjxnXhqqvqeh0nXXYenDEmR6644jzWr/8nFSoU9zpKhqwFZ4zx28mTiWf061axYgQiwXNQIS0rcMYYv6gq//jHl3Tq9DFvv73c6zh+sQJnjPHL668v48MPV1KsWKGgOtctM1bgjDFZ+vbbLTz00NcAfPRRJG3aVPM4kX+swBljMvXHHwfo02caSUnKY491ICqqudeR/GYFzhiToSNHThIZGc3Bgye48cZGPPfcVV5HyhYrcMaYDP35Zzz79yfQpElFPvusZ1BdhuUPOw/OGJOh5s0rExs7mBMnEilduqjXcbLNCpwx5iy7dh2hWrVSANSoUdrjNDlnm6jGmDOsXPk3DRu+zlNPLUBVvY5zTqzAGWNS7dlzjMjIaI4dO8327Ye9jnPOrMAZYwA4dSqJ3r2nsn17PO3a1eSdd24I6suw/GEFzhgDwLBh/+WHH7ZTo0YpZs7sS9Gi+X8XvRU4Ywxvv72cd9/9haJFw5k1Kyr1AEN+ZwXOmALuxIlExoxZAsAHH3TjootqeJwo9+T/Nqgx5pwUK1aIn366k9mzNzBgQAuv4+Qqa8EZU0AlJSWnPq5SpST33NPWwzSBYQXOmAIoOVmJiprOyJHzzyh0ocYKnDEF0LPPfs+MGet5551YduzI/+e7ZcQKnDEFzMyZ63n66e8RgcmTe1GnTlmvIwWMFThjCpDfftvNbbfNAuDll6/huusaepwosKzAGVNA7Nt3nG7dnMuwbrmlBSNGXOp1pICzAmdMATF8+Dy2bTtE27bVee+9G/P9ZVj+sPPgjCkgXnvtWk6dSmLMmM4UL17Y6zh5wgqcMQVExYoRTJ7cy+sYeco2UY0JYT/+uJ3hw78mMTF0z3XLTEALnIh0FZHfRWSziIxM5/naIrJARFaIyGoRuT6QeYwpSLZvj6dnzymMHbuU99//xes4nghYgRORcOBN4DqgKdBfRJqmmWwUMFVVWwP9gLcClceYguT48dN07x7N3r3H6dy5HoMHX+h1JE8EsgV3MbBZVbeo6ikgGohMM40CKR2+lwH+CmAeYwoEVeXOO2NYseJv6tcvR3R0bwoVKph7owK51jWAHT7Dce44X08Dt4hIHPAVcF96MxKRu0UkVkRiAxHUmFDy4os/MmXKWkqVKsKcOf0pX76415E8E8gCl95JNmnvYNEfmKiqNYHrgU9E5KxMqvqeqrZV1dDr7sCYXPT115sZNeo7ROCzz3rStGklryN5KpCnicQBtXyGa3L2JuhdQFcAVV0iIsWAisCeAOYyJmRdcklNunRpwOWX1+amm873Oo7nAlnglgMNRaQusBPnIMLNaabZDlwNTBSRJkAxYG8AMxkT0sqWLcYXX/TPd3egD5SAbaKqaiIwFPgaWI9ztHStiIwWkW7uZMOBwSKyCpgMDNT8fiNGY/JYYmIyEyb8zKlTSQCEh4cViMuw/BHQKxlU9Sucgwe+4570ebwOuCyQGYwJdQ8/PI/x43/mhx+2M21aH6/jBJWCeezYmBAxceJKxo//mcKFw7j//ku8jhN0rMAZk08tWbKDe+75AoC33rqBDh1qe5wo+FiBMyYf2rnzMD17TuXUqSSGDr2IQYPaeB0pKFmBMyafSUg4TffuU/j776N06lSHsWO7eB0paFmBMyafSUpSqlcvRd26ZZk2rQ+FC4d7HSloWX9wxuQzJUsWYdasKP7++ygVKkR4HSeoWQvOmHxixYpdnDiRCEBYmFC9eimPEwU/K3DG5AO//76PTp0+pmPHicTHn/A6Tr5hBc6YIHfo0Am6dYsmPv4kNWuWplSpol5HyjeswBkTxJKSkunffwYbN+6nRYsqTJzY3a4zzQYrcMYEsZEj5/O//22mYsUIYmL6UbJkEa8j5StW4IwJUp98sooxY5ZQqFAY06f3oU6dsl5HyneswBkTpObP3wrAhAldufLKOt6GyafsPDhjgtTEiZFERTXj+usbeh0l37IWnDFB5MSJRI4fPw2AiFhxO0dW4IwJEqrKvfd+weWXf8SOHfFexwkJtolqTJAYP34pH3+8iuLFC7Fv33Fq1SrjdaR8z1pwxgSBefP+YMSIbwCYOLE7rVtX8zhRaLACZ4zHNm3aT1TUdJKTlccfv5y+fZt5HSlkWIEzxkOHD58kMjLavRzrfEaP7uR1pJBiBc4YD02cuJL16/fRrFklPvmkh12GlcvsIIMxHrrvvotRVW68sRGlS9tF9LnNCpwxHlBVRAQR4f7723kdJ2TZJqoxeezXX3fRvv0HbN160OsoIc8KnDF5aPfuo0RGRvPzzzsZP36p13FCnhU4Y/LIyZOJ9Oo1lbi4w7RvX5NXXunsdaSQZwXOmDygqgwd+hWLF++gZs3SzJwZRdGitgs80KzAGZMH3nxzOf/5zwqKFSvE7NlRVK1a0utIBYIVOGMCbP36vTzwwP8A+PDDblx4YXWPExUc1kY2JsAaN67I+PFd+fvvo/Tvf4HXcQoUK3DGBJiIMHToxV7HKJBsE9WYAEhOVoYP/5qNG/d7HaVAswJnTAA888xCxo5dSpcun3L6dJLXcQosK3DG5LIZM9YxevQiwsKEd9+9kcKFw72OVGBZgTMmF61a9Te33TYbgFdf7cy119b3OFHBZgXOmFyyd+8xIiOjOX78NLfd1pIHH7SL6L3mV4ETkSIi0iDQYYzJr5KSkunTZxp//hnPxRfX4N13b0TE+nbzWpYFTkRuAH4DvnGHW4nIrEAHMyY/CQ8P45ZbWnDeeWWYNSuKYsXsDKxg4E8LbjRwCXAIQFVXAtaaMyaNQYPasGHDUKpXL+V1FOPyp8CdVtVDacZpIMIYk9/89NMO1q7dkzpsLbfg4k+BWy8ifYEwEakrIuMB68jKFHh//nmIyMho2rX7gNWrd3sdx6TDnwI3FLgQSAZmAieA+wMZyphgd+zYKSIjo9m37ziXXVaLZs0qeR3JpMOf9nQXVX0UeDRlhIj0xCl2xhQ4qsodd8SwatVuGjYsz+TJvQgPtzOugpE/n8qodMY9nttBjMkvnn/+B6ZNW0fp0kWZM6c/5coV9zqSyUCGLTgR6QJ0BWqIyFifp0rjbK4aU+DMnr2BJ55YgAh8/nlPGjeu6HUkk4nMNlH3AGtw9rmt9Rl/BBgZyFDGBKuEhNMULRrO00935IYbGnkdx2QhwwKnqiuAFSLymaqeyMNMxgSt/v0voG3b6jRoUN7rKMYP/uyDqyEi0SKyWkQ2pvwEPJkxQeL06SQ2bNiXOtywYQW7DCuf8KfATQQ+AgS4DpgKRAcwkzFBZfjwebRp8y6zZ2/wOorJJn8KXISqfg2gqn+o6iigU2BjGRMcPvjgV15/fRlJSUrlyiW8jmOyyZ/z4E6K0x7/Q0TuBXYClQMbyxjvLV68nSFDvgTg7bdv4NJLa3mcyGSXPwXuQaAkMAx4HigD3BnIUMZ4bceOeHr2nMrp08kMG3Yxd97Z2utIJgeyLHCq+rP78AhwK4CI1AxkKGO8dPz4abp3n8KePce46qq6jBlzrdeRTA5lug9ORC4Ske4iUtEdbiYik/DzYnsR6Soiv4vIZhFJ99w5EekrIutEZK2IfJ7tNTAml61c+Tfr1++lXr1yTJ3a2+6pkI9ldiXDi0AvYBUwyu3k8n7gZeDerGYsIuHAm0BnIA5YLiJzVHWdzzQNgceAy1T1oIjYvj3juUsvrcVPP91FoUJhVKgQ4XUccw4y20SNBFqqaoKIlAf+cod/93PeFwObVXULgIhEu/Nc5zPNYOBNVT0IoKp7zpqLMXnk2LFTlChRBIBWrap6nMbkhsw2UU+oagKAqh4ANmSjuAHUAHb4DMe543w1AhqJyGIRWSoiXdObkYjcLSKxIhKbjeUb4zdnk3QCn3yyyusoJhdl1oKrJyIpXSIJUMdnGFXtmcW80zvVO21PwIWAhkBHoCbwg4g0T9uDsKq+B7wHUL16detN2OSqgwcT6NYtmj17jjF37kZuuaWFXakQIjIrcL3SDL+RzXnHAb4nDtXE2cxNO81SVT0NbBWR33EK3vJsLsuYHElMTKZfvxls3nyAVq2q8tFHkVbcQkhmF9t/e47zXg40FJG6OCcH9wNuTjPNbKA/MNE9UtsI2HKOyzXGb48++g3z5v1BpUoRzJ4dlboPzoSGgHVDqqqJON2dfw2sB6aq6loRGS0i3dzJvgb2i8g6YAHwsKruD1QmY3xNmrSKsWOXUqhQGDNm9OW888p6HcnksoDeAkhVvwK+SjPuSZ/HCjzk/hiTZ44ePcXw4fMAeOON67j88vM8TmQCwe8CJyJFVfVkIMMYk1dKlizCwoW3M3Pmeu65p63XcUyAZFngRORi4AOca1Bri0hLYJCq3hfocMYEUrNmlWnWzM4tD2X+7IObANwI7AdQ1VVYd0kmH1JVBg2aw/vv/+J1FJNH/ClwYar6Z5pxSYEIY0wgjR27hA8+WMGDD37Nzp2HvY5j8oA/++B2uJup6l5feh9gXZabfOXrrzfzyCPzAZg0qQc1apT2OJHJC/604IbgHOWsDewG2rnjjMkXNm7cT1TUdJKTlaeeupKePZt4HcnkEX9acImq2i/gSYwJgPj4E3TrNpn4+JP06NGYJ5+80utIJg/504JbLiJficjtIlIq4ImMyUVDhnzJ77/v54ILKjNpUg/CwuwyrIIkywKnqvWB54ALgd9EZLaIWIvO5AtPP92RDh1qExPTj5Il7TKsgsavS7VU9SdVHQa0AQ4DnwU0lTG5pFGjCixaNJC6dct5HcV4IMsCJyIlRWSAiMwFlgF7gUsDnsyYHIqN/Ys331yGcyUg1jtIAebPQYY1wFzgFVX9IcB5jDknu3YdoXv3aHbuPELp0kW59daWXkcyHvKnwNVT1eSAJzHmHJ08mUivXlPZufMIHTrUJiqqudeRjMcyu+nMa6o6HJghImf1outHj77G5BlVZciQL1myJI5atUozY0ZfihSxu2EVdJm14Ka4v7Pbk68xeW7ChJ/56KOVFC9eiJiYflSuXMLrSCYIZNaj7zL3YRNVPaPIichQ4Fx7/DUmV3z77ZbUvt0++iiS1q2reZzIBAt/ThO5M51xd+V2EGNyqm7dcjRtWol//auD7XczZ8hsH1wUzn0U6vreTQsoBRxK/1XG5L169cqxZMldFC9e2OsoJshktg9uGU4fcDVx7lCf4giwIpChjMlKcrIye/YGevRojIjYzWJMujLcRFXVrao6X1UvUtVvfX6Wubf5M8YzTz65gF69pjJs2H+9jmKCWGabqN+r6pUicpAzb9gsOPeLKR/wdMakY+rUtTz//A+EhQk33XS+13FMEMtsEzWlW/KKeRHEGH+sWLGLgQNnAzBmTGeuvba+x4lMMMtsEzXl6oVaQLiqJgHtgXsAO8nI5Lk9e47RvfsUEhISGTiwFQ880M7rSCbI+XOayGyc7srrA5OAJsDnAU1lTBqnTiXRu/dUtm+Pp127mrzzzg12Eb3Jkj8FLtk9qNATGO/eLrBGYGMZc6ZDh05w7NhpatQoxcyZfSlaNKD3LDchwq8uy0WkD3Ar0N0dZyccmTxVuXIJfvjhDnbsiKdaNetY2vjH3ysZOuF0l7RFROoCkwMbyxjH1q0HU/t1i4gozPnn2zEv4z9/uixfAwwDYkWkMbBDVZ8PeDJT4G3depCLLnqfqKjpJCTYqZcm+7LcRBWRy4FPgJ0458BVFZFbVXVxoMOZguvo0VNERkazf38CR4+esq6PTI74sw9uHHC9qq4DEJEmOAWvbSCDmYIrOVm5/fbZ/PbbHs4/vwKff96L8HC/bh9izBn8+dYUSSluAKq6HrAL/0zAPPvs98ycuZ4yZYoSE9OPsmWLeR3J5FP+tOB+FZF3cVptAAOwi+1NgMycuZ6nn/6esDBh8uRedlDBnBN/Cty9OAcZHsHZB7cIeD2QoUzBpKq8/XYsAC+/fA3XXdfQ40Qmv8u0wInIBUB9YJaqvpI3kUxBJSLMndufTz9dzV13tfY6jgkBGe6DE5F/4VymNQD4RkTS69nXmHOWmJhMcrJzrluxYoUYNKiNXYZlckVmBxkGAC1UtQ9wETAkbyKZguaBB/5Hjx5TOHz4pNdRTIjJbBP1pKoeA1DVvSJix+lNrnuyjZxiAAAf90lEQVT//V94883lFCkSzu+/7+Oii+wyZ5N7Mitw9XzuxSBAfd97M9h9Uc25+vHH7fzzn18B8O67N1pxM7kuswLXK82w3R/V5Jrt2+Pp2XMKp08n88ADlzBwYCuvI5kQlNl9Ue2+pyYgjh1zLsPau/c4nTvX49VXr/U6kglRtl/N5LmxY5ewcuXf1K9fjujo3hQqZF9DExjWa6DJc48+2oEDBxIYPPhCypcv7nUcE8L8LnAiUlRV7Ti+OWdFioQzblxXr2OYAiDLbQMRuVhEfgM2ucMtRcQu1TLZsnbtHvr0mcahQye8jmIKEH92fkwAbsS5yz2quor/v6WgMVk6cCCByMhopk9fx3PPLfI6jilA/ClwYar6Z5pxSYEIY0JPYmIyUVHT+eOPg7RuXZXRo+1/o8k7/uyD2yEiF+PcOjAcuA/YGNhYJlSMGDGP+fO3ULlyCWbP7kdEhN2vyOQdf1pwQ4CHgNrAbqAddl2q8cNHH63g3//+mcKFw5gxoy+1a5fxOpIpYLJswanqHqBfHmQxIWT16t3ce++XALz55vV06FDb40SmIPLnpjPvA5p2vKreHZBEJiQ0bVqJf/yjLadPJzN48IVexzEFlD/74Ob7PC4G9AB2BCaOCRWFCoUxblzX1H7ejPGCP/dFneLz8zHQE2ga+Ggmv1FVXnllMfv2HU8dFxZmHVca7+TkIsC6wHm5HcTkf6+++hOPPjqfq676mKSkZK/jGOPXlQwHReSA+3MI+Ab4lz8zF5GuIvK7iGwWkZGZTNdbRFRE7F6r+dRXX21i5Ehnb8Yzz3S0+5iaoJDVTWcEaIlzV3uAZFX1a6eKe87cm0BnIA5YLiJzfO+x6k5XCueuXT9nM7sJEhs27KN//xmowtNPX0mPHk28jmQMkEULzi1ms1Q1yf3Jzh7ji4HNqrpFVU8B0UBkOtM9C7wC2EWK+dChQyeIjIzm8OGT9OrVhCeeuNLrSMak8mc7YpmItMnBvGtw5tHWOHdcKhFpDdRS1S9yMH/jsaSkZPr3n8HGjftp0aIKEyd2t4MKJqhkdtvAlM3XDjhF7ncR+VVEVojIr37MO71vemoL0L2JzThgeJYzErlbRGJFJNaP5Zo81KpVFSpWjGD27ChKlizidRxjzpDZPrhlQBugew7nHQfU8hmuCfzlM1wKaA4sdO+BWRWYIyLdVPWMQqaq7wHvAVSvXt1OrAoS4eFhvPjiNQwffikVK0Z4HceYs2RW4ARAVf/I4byXAw1FpC7OQYp+wM0pT6pqPFAxdWEiC4ERaYubCT6rV++mSpUSVKlSEsCKmwlamRW4SiLyUEZPqurYzGasqokiMhT4GggHPlTVtSIyGohV1Tk5Smw8tWvXEa677jPCwoTvvx9IvXrlvI5kTIYyK3DhQEnS35fmF1X9CvgqzbgnM5i2Y06XY/LGiROJ9Ogxhb/+OsLll9emZs3SXkcyJlOZFbhdqjo6z5KYoKaq3HvvF/z8805q1y7D9Ol9KVIk3OtYxmQqs9NE7Hi/STV+/FI+/ngVERGFiYnpR+XKJbyOZEyWMitwV+dZChPU5s37gxEjvgFg4sRIWrWq6nEiY/yTYYFT1QN5GcQEr1Wr/iY5WRk16nL69GnmdRxj/GY3fjZZevjhy2jfvhaXXlor64mNCSLW5YNJV3KysmfPsdThDh1q22VYJt+xAmfS9cQT39Gy5TssXRrndRRjcsw2Uc1ZoqPX8MILPxIeLhw/ftrrOMbkmLXgzBl+/XUXd94ZA8C4cV246qq6HicyJueswJlUu3cfJTIymoSERO68sxVDh17sdSRjzokVOAPAyZOJ9Ow5lbi4w1x6aS3eeusG3F5ejMm3rMAZAL77bitLluygZs3SzJjRl6JFbfesyf/sW2wAuO66hsyZ05+qVUtStWpJr+MYkyuswBVwSUnJqXfAuvHGRh6nMSZ32SZqAbZly0GaN3+bRYv+9DqKMQGRLwtcw4YNvY6Q7x05cpLIyGg2bNjHuHFLvY5jTEDkywJ38803Zz2RyVBysnLbbbNZs2YPjRtXZOLE9O7maEz+ly8LnDk3zzyzkNmzN1CmTFFiYvpRpkwxryMZExBW4AqYadPWMnr0IsLChClTetOoUQWvIxkTMFbgCpCDBxMYNGguAK+8cg1dujTwOJExgWWniRQg5coVZ/r0Psydu5GHHmrvdRxjAk5U89d9lKtXr65//fVX1hMaY0KGiPyiqm2z+zrbRC0ARo6cz/z5W7yOYUyeswIX4t55J5aXX15M9+7R7Nt33Os4xuQpK3Ah7Pvvt3Hfff8F4O23b6BixQiPExmTt6zAhaht2w7Ru/c0EhOTGT68Pbfe2tLrSMbkOStwIejYsVNERjqbpF261Ofll6/xOpIxnrACF4IGD57L6tW7adiwPJMn90rtLcSYgsa++SHonnsupH79csyZ059y5Yp7HccYz9h5cCEqMTGZQoXs/5cJDXYeXAG3Zs0evvxyY+qwFTdjrMCFhP37j9Ot22Ruumkyc+f+7nUcY4KGFbh87vTpJPr2nc7WrYdo06Ya11xTz+tIxgQNK3D53PDh8/juu61UqVKC2bP7Ubx4Ya8jGRM0rMDlYx988Cuvv76MIkXCmTkzipo1S3sdyZigYgUun/rppx0MGfIl4FyGdemltTxOZEzwsf7g8qmwMKFChQj69m3KnXe29jqOMUHJzoPLx3btOkKlSiXslBAT8uw8uAJAVVm6NC51uFq1UlbcjMmE/XXkIy+99CPt23/AK68s9jqKMfmCFbh8Yu7c33n88e8AOP98uxOWMf6wApcPrFu3lwEDZqIKzz7bicjIxl5HMiZfsAIX5A4eTCAyMpojR07Rp09THn/8cq8jGZNvWIELYomJyfTrN4PNmw/QqlVVPvooEhHxOpYx+YYVuCAWF3eYdev2UqlSBDEx/ShRoojXkYzJV+xE3yBWp05Zli8fTFzcYWrXLuN1HGPyHStwQejgwYTUnnirVi1J1aolPU5kTP5km6hBZufOwzRr9haPPTafpKRkr+MYk69ZgQsiCQmn6dFjCrt2HWXJkjiSk/PXZXTGBBsrcEFCVbn77i9YvvwvzjuvDNOm9aFw4XCvYxmTr1mBCxJjxy7h009XExFRmJiYflSqVMLrSMbke1bggsDXX2/mkUfmAzBpUndatqzqcSJjQoMVOI8lJyuPPfYtycnKU09dSa9eTb2OZEzICGiBE5GuIvK7iGwWkZHpPP+QiKwTkdUi8q2InBfIPMEoLEyYN+9WRo/uyJNPXul1HGNCSsA6vBSRcGAj0BmIA5YD/VV1nc80nYCfVfW4iAwBOqpqVGbzDZUOL1XVLrsyxk/B2OHlxcBmVd2iqqeAaCDSdwJVXaCqx93BpUDNAOYJKiNHzufBB/9HYqKd62ZMoASywNUAdvgMx7njMnIX8N8A5gkan322mlde+YnXX1/GypV/ex3HmJAVyAKX3vZXutvDInIL0BZ4NYPn7xaRWBGJzcV8noiN/YtBg+YC8O9/d6Vt2+oeJzImdAWywMUBvveyqwmctfNMRK4BHge6qerJ9Gakqu+patucbIMHk127jtC9ezQnTiQyeHAb/vGPi7yOZExIC2SBWw40FJG6IlIE6AfM8Z1ARFoD7+IUtz0BzOK5kycT6dVrKjt3HqFDh9q88cb1dpDBmAALWIFT1URgKPA1sB6YqqprRWS0iHRzJ3sVKAlME5GVIjIng9nle6NHf8+SJXHUqlWaGTP6UqSIXYZlTKDZfVHzyMGDCdx11xyeeOIKWreu5nUcY/KVnJ4mYgXOGBP0gvE8uALvjz8OMGLEPE6dSvI6ijEFkvXoGyCHD5+kW7do1q3bS0REYUaP7uR1JGMKHGvBBUBysnLLLTNZt24vTZtWYsSIS72OZEyBZAUuAJ58cgFz526kXLlixMT0o3Tpol5HMqZAsgKXy6ZOXcvzz/9AWJgwZUpvGjQo73UkYwosK3C5aPXq3QwcOBuA1167ls6d63ucyJiCzQ4y5KI6dcpyzTX1qFAhgvvvv8TrOMYUeFbgclHp0kWZPbsfiYnJdhmWMUHANlHPkaoyadIqTp5MBJweeu0yLGOCgxW4c/TWW8u5/fbZXHfdZ+S3q0KMCXVW4M7BggVbuf/+/wFw112tbbPUmCBjBS6Htm49SJ8+00hKUh5++FIGDGjhdSRjTBpW4HLg6NFTREZGs39/Atdd14AXX7za60jGmHRYgcum5GTltttm8dtvezj//Ap8/nkvwsPtbTQmGNlfZjadOpVEoUJhlClTlJiYfpQtW8zrSMaYDFh/cDmgqmzefICGDSt4msOYgsL6gwuwP/44wPHjpwEQEStuxuQDVuD8sG/fca655hMuv/wj/v77qNdxjDF+sgKXhdOnk+jTZxrbth0iLEwoU8a6PjImv7ACl4UHHvgfCxduo2rVksyeHUXx4oW9jmSM8ZMVuEy8994vvPVWLEWKhDNrVhQ1apT2OpIxJhuswGXghx/+5J///AqAd9+9kXbtanqcyBiTXVbgMjBjxnoSE5N54IFLGDiwlddxjDE5YP3BZWDcuC60a1eT3r2beh3FGJND1oLzoapnnOvWr19zChWyt8iY/Mr+en28+OKPtGv3H7ZuPeh1FGNMLrBNVNfcub8zatR3AKxbt5e6dct5nMgYc66swAFr1+7h5ptnogovvHAVN9zQyOtIxphcUOA3UQ8cSCAyMpqjR0/Rr19zRo7s4HUkY0wuKdAFLjExmaio6fzxx0HatKnGBx90s27HjQkhBbrAzZixjvnzt1C5cglmz44iIsIuwzImlBTofXB9+zZjz55jtGlTjVq1yngdxxiTy6zDS2NM0Mtph5cFrgW3c+dhbr11Fu+8cyONGlmnlRk5ffo0cXFxnDhxwusopgApVqwYNWvWpHDh3NldVKAKXELCabp3n0Js7F+MHDmfmTOjvI4UtOLi4ihVqhR16tSxAy8mT6gq+/fvJy4ujrp16+bKPAvMQQZVZdCgucTG/kXdumV5//2bvI4U1E6cOEGFChWsuJk8IyJUqFAhV7caCkyBe/XVn/j8898oUaIwMTH9qFAhwutIQc+Km8lruf2dKxAF7quvNjFy5HwAPvmkBxdcUMXjRMaYvBDyBW737qP07z8DVXjmmY706NHE60jGT+Hh4bRq1YrmzZtz0003cejQodTn1q5dy1VXXUWjRo1o2LAhzz77LL5nBPz3v/+lbdu2NGnShMaNGzNixAgvViFTK1asYNCgQV7HyND+/fvp1KkTJUuWZOjQoRlOd+DAATp37kzDhg3p3LkzBw86nVWoKsOGDaNBgwa0aNGCX3/9FYC9e/fStWvXPFmHkC9wVaqUZMyYzvTv35xRo67wOo7JhuLFi7Ny5UrWrFlD+fLlefPNNwFISEigW7dujBw5ko0bN7Jq1Sp++ukn3nrrLQDWrFnD0KFD+fTTT1m/fj1r1qyhXr16uZotMTHxnOfxwgsvcN999+XpMrOjWLFiPPvss4wZMybT6V566SWuvvpqNm3axNVXX81LL70EOP9kNm3axKZNm3jvvfcYMmQIAJUqVaJatWosXrw44OtQII6iDh58IYMGtbF9Sjn0zDPPBGS+Tz31lN/Ttm/fntWrVwPw+eefc9lll3HttdcCEBERwRtvvEHHjh355z//ySuvvMLjjz9O48aNAShUqBD/+Mc/zprn0aNHue+++4iNjUVEeOqpp+jVqxclS5bk6FHn9pDTp0/niy++YOLEiQwcOJDy5cuzYsUKWrVqxaxZs1i5ciVly5YFoEGDBixevJiwsDDuvfdetm/fDsD48eO57LLLzlj2kSNHWL16NS1btgRg2bJlPPDAAyQkJFC8eHE++ugjzj//fCZOnMiXX37JiRMnOHbsGN999x2vvvoqU6dO5eTJk/To0SP18+nevTs7duzgxIkT3H///dx9991+v7/pKVGiBB06dGDz5s2ZThcTE8PChQsBuP322+nYsSMvv/wyMTEx3HbbbYgI7dq149ChQ+zatYtq1arRvXt3Pvvss7Pel9wWsgXutdd+4rrrGtK0aSXAdpjnZ0lJSXz77bfcddddgLN5euGFF54xTf369Tl69CiHDx9mzZo1DB8+PMv5Pvvss5QpU4bffvsNIHXTKjMbN25k/vz5hIeHk5yczKxZs7jjjjv4+eefqVOnDlWqVOHmm2/mwQcfpEOHDmzfvp0uXbqwfv36M+YTGxtL8+bNU4cbN27MokWLKFSoEPPnz+df//oXM2bMAGDJkiWsXr2a8uXLM2/ePDZt2sSyZctQVbp168aiRYu44oor+PDDDylfvjwJCQlcdNFF9OrViwoVzjzX88EHH2TBggVnrVe/fv0YOXJkluufnt27d1OtWjUAqlWrxp49ewDYuXMntWrVSp2uZs2a7Ny5k2rVqtG2bVtGjRqVo+VlR0gWuE8+WcWIEd/wwgs/smXLMMqUKeZ1pHwtOy2t3JSQkECrVq3Ytm0bF154IZ07dwacfTsZ/cPKzj+y+fPnEx0dnTpcrlzWfQD26dOH8PBwAKKiohg9ejR33HEH0dHRREVFpc533bp1qa85fPgwR44coVSpUqnjdu3aRaVKlVKH4+Pjuf3229m0aRMiwunTp1Of69y5M+XLlwdg3rx5zJs3j9atWwNOK3TTpk1cccUVTJgwgVmzZgGwY8cONm3adFaBGzdunH9vTi5I7yqplM+ncuXK5MUVSSFX4JYt28ngwXMBeO65Tlbc8rGUfXDx8fHceOONvPnmmwwbNoxmzZqxaNGiM6bdsmULJUuWpFSpUjRr1oxffvkldfMvIxkVSt9xac/JKlGiROrj9u3bs3nzZvbu3cvs2bNTWyTJycksWbKE4sWLZ7puvvN+4okn6NSpE7NmzWLbtm107Ngx3WWqKo899hj33HPPGfNbuHAh8+fPZ8mSJURERNCxY8d0zycLRAuuSpUqqZueu3btonLlyoDTYtuxY0fqdHFxcVSvXh1w3tfM3p/cElIHGXbtOkKPHlM4eTKJe+65kCFDLvI6kskFZcqUYcKECYwZM4bTp08zYMAAfvzxR+bPd079SUhIYNiwYTzyyCMAPPzww7zwwgts3LgRcArO2LFjz5rvtddeyxtvvJE6nLKJWqVKFdavX5+6CZoREaFHjx489NBDNGnSJLW1lHa+K1euPOu1TZo0OWPfVnx8PDVq1ABg4sSJGS6zS5cufPjhh6n7CHfu3MmePXuIj4+nXLlyREREsGHDBpYuXZru68eNG8fKlSvP+slpcQPo1q0bH3/8MQAff/wxkZGRqeMnTZqEqrJ06VLKlCmTuim7cePGMzbRAyVkCtyJE4n06DGFv/46wuWX12bChOu8jmRyUevWrWnZsiXR0dEUL16cmJgYnnvuOc4//3wuuOACLrrootRTGVq0aMH48ePp378/TZo0oXnz5uzateuseY4aNYqDBw/SvHlzWrZsmdqyeemll7jxxhu56qqrUv8gMxIVFcWnn36aunkKMGHCBGJjY2nRogVNmzblnXfeOet1jRs3Jj4+niNHjgDwyCOP8Nhjj3HZZZeRlJSU4fKuvfZabr75Ztq3b88FF1xA7969OXLkCF27diUxMZEWLVrwxBNP0K5du6zfVD/UqVOHhx56iIkTJ1KzZs3UTe9BgwYRGxsLwMiRI/nmm29o2LAh33zzTWqxvP7666lXrx4NGjRg8ODBqUe5ARYsWMANN9yQKxkzEzK9iQwcOJuPP15F7dplWL58MJUrl0jn1cZf69evp0kTO2cwkMaNG0epUqWC+ly4QLniiiuIiYlJd79net+9nPYmEjItuKuuqkv58sWJielnxc3kC0OGDKFo0aJex8hze/fu5aGHHvLroM65CpkWHMCRIycpVargfWECwVpwxivWgnNt3nyAVav+Th224pa78ts/P5P/5fZ3Lt8WuMOHT9Kt22QuvfRDfvjhT6/jhJxixYqxf/9+K3Imz6T0B1esWO6d2pUvz4NLSkpmwICZrF+/j2bNKtGqVVWvI4WcmjVrEhcXx969e72OYgqQlB59c0tAC5yIdAX+DYQD/1HVl9I8XxSYBFwI7AeiVHVbVvN94okFfPHFxtSDCrZpmvsKFy6ca72qGuOVgG2iikg48CZwHdAU6C8iTdNMdhdwUFUbAOOAl7Oab0ICvPjij4SHC1On9qZ+/fK5Hd0YEyICuQ/uYmCzqm5R1VNANBCZZppI4GP38XTgasniYsKULsHGju3C1Vfnbhc4xpjQEsgCVwPY4TMc545LdxpVTQTigSxvdXXnna24776LcymmMSZUBXIfXHotsbSH5PyZBhG5G0jp3Orkhx92X/Phh+eYLjhUBPZ5HSKXhMq6hMp6QGity/k5eVEgC1wcUMtnuCaQ9gzdlGniRKQQUAY4kHZGqvoe8B6AiMTm5IS/YGTrEnxCZT0g9NYlJ68L5CbqcqChiNQVkSJAP2BOmmnmALe7j3sD36mdeGWMySUBa8GpaqKIDAW+xjlN5ENVXSsio4FYVZ0DfAB8IiKbcVpu/QKVxxhT8AT0PDhV/Qr4Ks24J30enwD6ZHO27+VCtGBh6xJ8QmU9wNYl/11sb4wx/sq316IaY0xWgrbAiUhXEfldRDaLyFn9KYtIURGZ4j7/s4jUyfuUWfNjPR4SkXUislpEvhWR87zI6Y+s1sVnut4ioiIStEfw/FkXEenrfjZrReTzvM7oLz++Y7VFZIGIrHC/Z9d7kTMrIvKhiOwRkTUZPC8iMsFdz9Ui0ibLmapq0P3gHJT4A6gHFAFWAU3TTPMP4B33cT9gite5c7genYAI9/GQYFwPf9fFna4UsAhYCrT1Ovc5fC4NgRVAOXe4ste5z2Fd3gOGuI+bAtu8zp3BulwBtAHWZPD89cB/cc6fbQf8nNU8g7UFF5DLvDyQ5Xqo6gJVPe4OLsU5XzAY+fOZADwLvAKcfUun4OHPugwG3lTVgwCquiePM/rLn3VRoLT7uAxnn48aFFR1EemcB+sjEpikjqVAWRHJ9KYZwVrgAnaZVx7zZz183YXzHyoYZbkuItIaqKWqX+RlsBzw53NpBDQSkcUistTtGScY+bMuTwO3iEgczlkN9+VNtFyX3b+noO0PLtcu8/KY3xlF5BagLXBlQBPlXKbrIiJhOD3CDMyrQOfAn8+lEM5makecVvUPItJcVQ8FOFt2+bMu/YGJqvqaiLTHOfe0uaomBz5ersr233ywtuCyc5kXmV3m5TF/1gMRuQZ4HOimqifzKFt2ZbUupYDmwEIR2Yazj2ROkB5o8Pf7FaOqp1V1K/A7TsELNv6sy13AVABVXQIUw7lONb/x6+/pDF7vWMxgZ2IhYAtQl//fcdoszTT/5MyDDFO9zp3D9WiNs5O4odd5z3Vd0ky/kOA9yODP59IV+Nh9XBFn06iC19lzuC7/BQa6j5u4RUG8zp7B+tQh44MMN3DmQYZlWc7P6xXKZEWvBza6f/yPu+NG47RywPkvNA3YDCwD6nmdOYfrMR/YDax0f+Z4nTmn65Jm2qAtcH5+LgKMBdYBvwH9vM58DuvSFFjsFr+VwLVeZ85gPSYDu4DTOK21u4B7gXt9PpM33fX8zZ/vl13JYIwJWcG6D84YY86ZFThjTMiyAmeMCVlW4IwxIcsKnDEmZFmBK4BEJElEVvr81Mlk2joZ9e6QzWUudHu8WOVe/pTtm4iIyL0icpv7eKCIVPd57j/p3Hf3XHMuF5FWfrzmARGJONdlm9xnBa5gSlDVVj4/2/JouQNUtSVOJwmvZvfFqvqOqk5yBwcC1X2eG6Sq63Il5f/nfAv/cj4AWIELQlbgDJDaUvtBRH51fy5NZ5pmIrLMbfWtFpGG7vhbfMa/KyLhWSxuEdDAfe3Vbj9lv7n9gRV1x7/k00/eGHfc0yIyQkR641y3+5m7zOJuy6utiAwRkVd8Mg8UkddzmHMJPhdzi8jbIhLr9g/3jDtuGE6hXSAiC9xx14rIEvd9nCYiJbNYjgkQK3AFU3GfzdNZ7rg9QGdVbQNEARPSed29wL9VtRVOgYkTkSbu9Je545OAAVks/ybgNxEpBkwEolT1ApzLjoaISHmgB84lRy2A53xfrKrTgVicllYrVU3weXo60NNnOAqYksOcXYHZPsOPq3MbvhbAlSLSQlUn4Fz61ElVO4lIRWAUcI37XsYCD2WxHBMgwdqbiAmsBPeP3Fdh4A13n1MSTndBaS0BHheRmsBMVd0kIlcDFwLL3e74iuMUy/R8JiIJwDacLnvOB7aq6kb3+Y9xrjF+A6c/uf+IyJeA390vqepeEdkiIu2ATe4yFrvzzU7OEjidSfr2GttXnJuQFwKq4VwCtTrNa9u54xe7yymC874ZD1iBMykexLkmtiVOy/6sDitV9XMR+RnnouevRWQQzvWBH6vqY34sY4Cqpt7AV0TS7b9PnVtOXgxcjdORwlDgqmysyxSgL7ABmKWq6naG6ndOnOs2X8K59rGniNQFRgAXqepBEZmIcz10WgJ8o6r9s5HXBIhtopoUZYBd6vQRditO6+UMIlIP2OJuls3B2VT7FugtIpXdacqL//eV2ADUEZEG7vCtwPfuPqsy6tx28gEgvSOZR3C6aErPTKA7Tj9oU9xx2cqpqqdxNjXbuZu3pYFjQLyIVAGuyyDLUuCylHUSkQgRSa81bPKAFTiT4i3gdhFZirN5eiydaaKANSKyEmiM0330OpxCME9EVgPf4Gy+ZUmd++LeAUwTkd+AZOAdnGLxhTu/73Fal2lNBN5JOciQZr4HcXoBOU9Vl7njsp3T3bf3GjBCVVfh3KNhLfAhzmZviveA/4rIAlXdi3OEd7K7nKU475XxgPUmYowJWdaCM8aELCtwxpiQZQXOGBOyrMAZY0KWFThjTMiyAmeMCVlW4IwxIcsKnDEmZP0fuj0GKd0VGa0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model = SVM_Model(x_train,y_train,x_val,y_val)\n",
    "ROC_plot(x_train,x_val,model)"
   ]
  },
  {
<<<<<<< HEAD
   "cell_type": "code",
   "execution_count": 316,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = 'pickle/model_svm.pkl'\n",
    "outfile = open(filename,'wb')\n",
    "pickle.dump(model,outfile)\n",
    "outfile.close()"
   ]
  },
  {
=======
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DECISION TREE"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 317,
=======
   "execution_count": 438,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "def Decison_tree_Model(x_train,y_train,x_val,y_val):\n",
    "    tree = DecisionTreeClassifier(min_samples_leaf=9,random_state=0)\n",
    "    tf= tree.fit(x_train, y_train)\n",
    "    y_pred = tf.predict(x_val)\n",
    "    y_predict = tf.predict_proba(x_val)\n",
    "    print(\"Decisioin Tree Train data Score\" , \":\" , tf.score(x_train, y_train) \n",
    "          , \",\" , \"Validation data Score\" ,\":\" , tf.score(x_val, y_val))\n",
    "    confusionmatrix(y_val,y_pred)\n",
    "    print(\"Log_Loss: \",log_loss(y_val,y_predict))\n",
    "    Fscore(y_val,y_pred)\n",
    "    recall(y_val,y_pred)\n",
    "    report(y_val,y_pred)\n",
    "    fbeta(y_val,y_pred)\n",
    "    return tree"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 318,
=======
   "execution_count": 439,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Decisioin Tree Train data Score : 0.8671775223499362 , Validation data Score : 0.8352490421455939\n",
      "percentage of sensitivity = 84.70339597168865\n",
      "percentage of precision = 78.16673491673491\n",
      "Accuracy percentage = 93.40996168582377\n",
      "Log_Loss:  1.7419152630748576\n",
      "f score = 0.8033768498313509\n",
      "percentage of recall score = 0.8470339597168864\n",
      "Classification Report\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "     Failure       0.60      1.00      0.75         6\n",
      "        Poor       0.69      0.73      0.71        15\n",
      "Satisfactory       0.94      0.83      0.88        41\n",
      "        Good       0.83      0.80      0.82        91\n",
      "   Excellent       0.85      0.87      0.86       108\n",
      "\n",
      "   micro avg       0.84      0.84      0.84       261\n",
      "   macro avg       0.78      0.85      0.80       261\n",
      "weighted avg       0.84      0.84      0.84       261\n",
      "\n",
      "Fbeta score = 0.7885344808414613\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model = Decison_tree_Model(x_train,y_train,x_val,y_val)"
   ]
  },
  {
<<<<<<< HEAD
   "cell_type": "code",
   "execution_count": 319,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = 'pickle/model_dt.pkl'\n",
    "outfile = open(filename,'wb')\n",
    "pickle.dump(model,outfile)\n",
    "outfile.close()"
   ]
  },
  {
=======
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ADA BOOST"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 320,
=======
   "execution_count": 440,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "def ada_boost_model(x_train,y_train,x_val,y_val):\n",
    "    ada = AdaBoostClassifier(n_estimators=2)\n",
    "    af = ada.fit(x_train, y_train)\n",
    "    y_pred = af.predict(x_val)\n",
    "    y_predict = af.predict_proba(x_val)\n",
    "    print(\"Ada Boost Train data Score\" , \":\" , af.score(x_train, y_train) \n",
    "          , \",\" ,\"Validation data Score\" ,\":\" , af.score(x_val, y_val))\n",
    "    print(\"Log_Loss: \",log_loss(y_val,y_predict))\n",
    "    confusionmatrix(y_val,y_pred)\n",
    "    Fscore(y_val,y_pred)\n",
    "    recall(y_val,y_pred)\n",
    "    report(y_val,y_pred)\n",
    "    fbeta(y_val,y_pred)\n",
    "    return ada"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 321,
=======
   "execution_count": 441,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ada Boost Train data Score : 0.7675606641123882 , Validation data Score : 0.7931034482758621\n",
<<<<<<< HEAD
      "Log_Loss:  0.6780033285371911\n",
=======
      "Log_Loss:  0.678003328537191\n",
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
      "percentage of sensitivity = 53.378698988455085\n",
      "percentage of precision = nan\n",
      "Accuracy percentage = 91.72413793103449\n",
      "f score = 0.4966256670571392\n",
      "percentage of recall score = 0.5337869898845509\n",
      "Classification Report\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "     Failure       0.00      0.00      0.00         6\n",
      "        Poor       0.00      0.00      0.00        15\n",
      "Satisfactory       0.73      0.98      0.83        41\n",
      "        Good       0.73      0.93      0.82        91\n",
      "   Excellent       0.92      0.76      0.83       108\n",
      "\n",
      "   micro avg       0.79      0.79      0.79       261\n",
      "   macro avg       0.48      0.53      0.50       261\n",
      "weighted avg       0.75      0.79      0.76       261\n",
      "\n",
      "Fbeta score = 0.4820380879923783\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
<<<<<<< HEAD
      "/home/rohith/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:30: RuntimeWarning: invalid value encountered in true_divide\n",
      "/home/rohith/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:42: RuntimeWarning: invalid value encountered in true_divide\n",
=======
      "/home/rohith/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:26: RuntimeWarning: invalid value encountered in true_divide\n",
      "/home/rohith/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:38: RuntimeWarning: invalid value encountered in true_divide\n",
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n",
      "/home/rohith/anaconda3/lib/python3.6/site-packages/sklearn/metrics/classification.py:1143: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.\n",
      "  'precision', 'predicted', average, warn_for)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Area Under the Curve with label 0 is 0.8715447154471545\n",
      "Area Under the Curve with label 1 is 0.9103749191984486\n",
      "Area Under the Curve with label 2 is 0.9097676107480028\n",
      "Area Under the Curve with label 3 is 0.9756097560975611\n",
      "Area Under the Curve with label 4 is 0.988235294117647\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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vK1as6OhsaDQajUaj0ewXIUTo8GPNRld3ajQajUaj0XRCtEjTaDQajUaj6YRokabRaDQajUbTCdEiTaPRaDQajaYTokWaRqPRaDQaTSdEizSNRqPRaDSaTogWaRqNRqPRaDSdEC3SNBqNRqPRaDohWqRpNBqNRqPRdEK0SNNoNBqNRqPphLSZSBNCPC+EKBFCbIiwXgghHhdCbBVCrBNCjG2rvGg0Go1Go9EcarTl2J0LgSeAFyKsPx0YaP4mAk+b/zUajUbTXIpqoMYFbgMaPdAvCRKiwu0qG+DTndBoKNt4J5w9yDrN97bC1/ngMtM8ZxCc2MfadtqbUOsCj1TzH5wD3aLD7T7fBXcu88+f0BvunmKd5tVfwMoi//zDJ8CEXuF2BVUw8z3/fK8EWPQr6zSfXg2vbPTPXzYa5gyLXKaqRv+8WSYpJcXFNdTXu2locGMsK2DI8xsQQoSVae/eWnbtKkdKkFKS9tQa+m+tsCzTqlWFVFY2YBgSuaeW8Y+uIslhDytTRUU9X365CyklUkK3JbmcuHKvZZl++KGAn3/eh5RgGJKJz21gsBRhZQJ49tmVeDyGyuumfVyxah82izKtX1/M//631VemI5cXMa004DgFlOnZZ1eSl1ehylTZyBXflZAT7QwrU0FBJfPmLfeVKTO3ipv3uS3L9NJL61i8eIevTHN/Kuek6IBrPaBMM2e+iccjVbrFtSySTuwWZfr446088si3vjKdWi+5TgZIo4AyXXrpu/z0015VpgY3/0cUw+Ojw8q0efNezj33DV+aB4M42ASaTFyIvsD7UsoRFuv+ASyRUr5qzm8GjpdSFjaV5vjx42VLBlj/adlu1n2RRxsWU6M57Kmsc1FW62reAynQRES0Mu2k394WwVhC2A0eydaQwfu3Ces8SMBjBOfTHqHiwZDqF5hmpP27jeD9O5tI0x2wf5sARwRblxG8f6fNev8SJbi8CCDKHjmfnoA0HTawRyhToye4TNER0jSkyqsX+4GVSfr+AFIiXCHnySyTepEbvmkhwW5Yl8ntMTACymuX4CuFkMgoCcKDxIPbcCGEB4THt0v/NRRwPYW8oEXY4fPbShl8XQanGbBx6Es/7PJtwf4DFkgj+P7x7l+E2IbmM3z/BJTJzETA4iBb4TeU0r9OBE1LMy/Cd48LGbCbkO0Q/vV4t7VIN3D7wDRBBqcfahc6HbRt+PTeqhJW7fqBN1e+tlJKOZ4DoC09afsjC8gLmM83l4WJNCHE74HfA/Tu3btFO1m/JJ99BTUHnkuNRtMsEtsk1aZUXCvYeaytFCECIqJtyOvHiGRnkWajtZWpCoPTjGhrCy6WO5IdIEIEVHPT9NBE+e3Btk2VSbR2mcR+yhRyvCOWqQk7X5rOSJnQHKqIkP8WyAjT+2PpT+/z5rIncBuuA8iYn44UaZG+X8MXSvks8CwoT1pLduKqV3fhGVeOJDEtpoVZ1BzW/FwGy/Nhcxn8XArnD4HzhljbXr8Evg/4vnhoKhydGW5XUgMz3vXPZ8TBW2dap/nMmuDqmd+PhDnDrW3PeCu4eua9syHJosppSS7cHlDlNDUH7olQ5XTdYvghoMpp/lQ4yl+mmkY3D360ie93lGIzJL9fX8GYPQ2QHgvzT7BO843N8ME2//w5g2H6Eda2V32qqvG8/P1kSLSoxvuhCJ5c5Z8f1wP+OC7ESILhQTzyPfy4x/ysNuAPYxBDU0EaIA2ENACJ2FcDD3wDQiKQkOKEGyYgpPTZIg3AQHy+E77NV9sJCcdmI47uob78pcfcxqO+7J9fCw0ulR8hYfYQRIxdpeOzMxC5FbA0T6UnDMhMgKN7AgbS48HV6MbwuDE8Bo4NJcSU1SnHhJCIUemQGg3SYE9JNQ0NjUjDgEY3PUtqiLZJtf8ogRiRDtJDQ4OL/NxyMFS5opH09hjm/iWkREFyFEiDsn011FQ3YBcSISDZDvHe8ggDkRSl8iklNdX12Ax1XGwSooTXEyNND4rXQyMwDz14lxlCOU8kQf+lFH477+nwpQOY2/ntwC2hVtioxkatENRho1bYaEBQjwApsBmoH/inTe9btCGJMSDaI4kywGlIHOap8e6DgP1h+D1fBNo0+2Pi8MIA37eOFKiqVu+hctiQDhsIgctj4PZIDKG2iRaCKCH8nr6UGOXxFjaK99ZiAB4BEkGmze6rlpbx0dAzHoSgospNfmEVBgJD2EhyOujtPX/ChhyUBikxSGFn9dpiyipdGAhcwERHFMk2uzq1cdHIk/qCzUF5VSOV3+/Ebbjo230QO0t+PuBj05EiLR/ICZjPBna39k5cpns/PSeBhBQt0jQt4L2t8OhK//zPpZCVYG1rGCrmx0tSdARbGWyX4IycZow92NZhi2xb7wq2zYhVAjBo1xJi9kHaKkioVC/V+FTYtQUMj/m285j1RB5I2wRDy8yXr4S962B9AkiDytp61mwqZkpdAyfHweRdVfRIcUOahDg7/PyxPz3D8E87S2FMuV8kyURYERewb8PMi4Txe9S2wlD23z+i3pqB6UlDiZ5TG/x2DuBd4V8vA1xb/c2flx3mz4pTQua/iGDnBI4NEBIukF+ZAkKqt4k0X+KyX8C0BPmN144wcSHT/HZUg/xEhNiZ600R4BM63/rFTW/Dn74/LwHiZquajpbQ3wjOsyswnwHpxEhBdECZ3AZUyIA8+cRV5xIkseavw7EJhM0GNhvCrn51jQYeAwwhkAgSE6JxRjkQdjvYbYhoJ9jtuAwo2F2DIZSgiHI66d87GWGzg92OiI2CmCiEw87OvGp2F9cihQ1D2DkiK5neWUlgcyDsDshIQDgdCLuTdz7YikvakMKOYdiYecpA7E6nymdCNCIjAeGws3V7OV8uzUfabGCzM7BnN06ckGPu34bI7IZIjAG7g7fe3kRhSS3YHIDg3KN7k5WZBHYHIsqBGJQGDgf7Sut58cW1CCEQAtKddmafEHCTZsSpDz9g+fI8tv60B5tN2U7snsiw/il+20EpvrCEN974UVWjChB1bo4em4ndG7KQGAXZyvefn1+JWF+MEAKbTZCJYEROkj/NnERfjGfy2iKqqxtVXt0GI+KiSIyPQkrJO0s+YsnmFTz22GPU1bkYcOocriq4mZycPowc2fOAL5eOFGnvAn8QQryGajBQsb94tAPB3age0I5IsReaw4/Pd8GaElhbAuv3wtILVBB1KCMzgufX7mmf/HkJjYEKiRsJwhZi63JDySYoWgeFa9WvaD3Ul8O0kG0/iZBmhvnzUvA1FKjJRAnTpfke9ghkpvJW+ETF92vwOp18y7wCIC5AUBSAzBchL/dQL4opLkrqLEWDmnYEiQ+/nXc6cDvhWwbedQKPW/r1nxTYEYjAvONP0+ONLTPLLJo4NYczhgQPAo+04UaQ2C0Gm1MJDuFwKBHgcFBd5yE3vxqPFHgQdEuOY9CQDHDYEXYlVgyboAEXazcXUtFQi4z2IGPdxKQI6kQ9jbgxbOCxKUeWx4ZvXgobDhFLenI63eJSSIpNISkulZT4NJJj06iuhIpqN84YJ85oJ8lp8SQmxymRZLMjHKYIMn/YHWqZuU7Y7eAtj7lO2YWu83tzDpQITT3CsPDjR+R3lzfPbgww5vfNs73gun7NsktPj+Oaa45plu2kSTlMmpSzf0Pg3HMj1DqEkJ3djezsbs2yHTUqXGz98MMPXHfddXz99dcAzJgxg2OPPZZRo3pa2reUNhNpQohXgeOBdCFEPnAHZqW+lPIZ4EPU62IrUAtc1Bb5cDcoT5ozUjCr5vDjL1/BjoBWVj/uhaMsWo6NzFDud+9bOr8cWVqFjBLgdiMNA+l2g8eDnJIImZlI6UFKAzxFyA3V4HEjPR5l4/EgK+rgLDtSGkjDAzHVyA8+UOvdHqTHDR5D/W8oRZ6hPFlSGsiyxfD4d2Z6bmVveKCxETlmJ7KhFNzlSFcFXPSIWhckeGxI0QNEHJJoX6y9NINypaF+eP97JNJjqGlzveExwGMcFpU24aFlfiUmIh0BhyPo5VzbYFBd68YjbUp8pMSRmhbvt3PYETZl++2KIupdEkMK3AhOPHkA0bFRfju7A2G3kZtfzcef78QjbRgI+vRP5Ve/Ho6wmyIgQED869/r2LCp1Cd+Lr9qIqPGZAaLC7uDsooGLrz4PV8+k1LieOudWT4xhc2mRJXdzj+fX8PzC9fhiHLiiHFy0cVjuejSCQECxv//1tsWU1/vJibGQUyMg2uuOZrExPBq+L17a6n8qQS3s5YKsYcSx152Ru0jvyqf/Op88qpyKa4pRiLhWOtD3y0qhezEbLITsslJzKFfYjbZiWq6R1wPHLaO9Elouhq7du3illtu4ZVXXgEgPT2dO++8k6OPPrpV99OmrTvbgpa07vS4DZ75wxJsNsEVT0WIkdGEIQ3DLyrcHjDUtFeY4HaHrfOJFa8gsVxn+ESLb32oMLFcF7BtkL0pVjwGsr4R9tYgy2qhoh4Za0f2TQC3JzjPhgd2lSMr6kEYSCQyOQpibcFiyjvd6FbVZpowpBB4sOE2BLEJMb6XfqDnwC0FW3dUYiDwSIEtysHIMZk+YeIXNTY2bylj48/lGAjcUjBiVC9Gjs5U1Sj2YFHzxDMrqarx+MTHjTcfR2JybIjXw8Ha9Xt47IkfVD6lYMy4LG665Tif4An0etz4ly/4elkBbjPNx/4+jeNPGuD3nJgiqGRfPcNHPIMbGx4pSOueQF7B9UrIhHhJ7rnnS26/fYlv/rbbjuWee060PJ45OY+Qn1/pm9+162p6904Ks/v88+3MnPmWT/iccEJfnn12umWaTz/9Axs37vXZzpo1gqFDM8LsGhs9LFuW67OLi3MyeHB6M66CluEyXBRWFwaIrzzfdH5VPtWu6ojb2oSNXvG9fELMK8C880nR4cdKo2kLbr/9dh566CEaGhqIjo7m6quv5i9/+QtJSdbXoBDikGzd2ea4TC+ao429aJ7ycuo3bvQLiEAPS6i4MAwlQgI9IVZeFK+4iCRMvNu6PSHiwh0uTAK39XqAvHahwsTtpkv0V1KORTvhAAKv/Crztz/MGI1gcREuTLxeDytxoQREyLbeZYHb2mwIowHRUAp1pYjaPVBbgmgsNwPEQdhU4DY2gUjIgJRsREpvSO2NSO2LiEsK8moIqyqasOobv8fEK0xK6z1c+9Z6VuRV4nA6uG/GaG6e/S6bNu3zHZqvv76IKVPCW14XF1czvecC33z37vEUv3695eF94d6v+OuSxb75Wy8+ltPutRY0Lzz9KLl7/d7QG2fMJa1vcphdY+o23rnfn0+3sz/dTgkNNjPzmrKTdfX1vvnK5Cyi+/cPs4uPqkd0SyLRFDQZGWa1mAXjx2dyxRXjfeLnuOP6WNoBvPrqOUgpfbY9e1rHH550Un/27LkhYjqBXHHFhGbZRUXZOeGE5lVP7Y+KhopgAeb9VedTWFOIIcN9lF7infFKeCUEC7CcxBx6JvTEadMtLDUdT3V1NQ0NDcyePZv77ruPPn0i39cHS5cWaW6z0YAzqu1Gv5KGwc45c2jcum3/xocSIcJj/8LEEV7dYQqTwLiSMGESUEXjEzVeT4jNDo0SUVKHKK6HolrEif0gp1uYJ4R6D+LqJQhpA2wqTy/+EhEbHSRMsNsRW8sRH+6EoRmIYd1hYCrCV60UIa4kNOarNTEMKNsRED+2Tk3X7PFHO6d6z0s09BgGPUdCr5HQcxT0GA5RcU3soHmUl9fz1Ve7WLlyJ6tWFTFoUCq/u+4YLn1pBQXlDfRI7cazc8czKieZReMy2bTZL35WrSq0FGkxMcGPmPr6yP1DtMQ2LS2W2loXsbFK0ESqEejdO4lLLx3rs2vKO/TXvx7HVVdN8ImkvhaiDyA5OYayspsiphPI6acP5PTTBzbL1ur4dUbchpuimqJwIWbOVzVG/uIRCGtvmDmdHJ180DFbGk1rIqXkvffew+FwMG2aCui97bbbmDVrFhMmNO8j6GDo0iLN50lrw0YD1V99RePWbdiSkogdPrxJYRIYV+L1poQJiAheD9+yQGFi4fXwBeSGBryGiCnLgFffuvBqmw7joo/g/W1APJAGMyfDBUda2z5UCTv91UUkDoLxFoGbw4EzJ7dBZpuKsyk8AAAgAElEQVSBxwV7NvmFWOE6FdBv9WKLToKeR5pizBRl6YPA3jbehDVrijjzzNd884NP7sOHTy+nzuVhVE4y/5w7ju7dVAvpsWN78sor6322K1dauy1jY51cfPFon/BJsOoJ32TGjGGMHt2TmBgHsbEOevWK3PPaqlWXNatMQ4akR6wKDGXkyB7NsjscqG6sVgLMrIYMrJYsrC7ELSML6FhHrBJfCaYnLECIZSZkEmWPfA1oNJ2JlStXcv3117NkyRL69OnDpk2biImJITU1ldTU1P0n0Ap0aZHma9nZhtWdZS+9DED6pZeQdsklbbafLkdpnWotuaYEKhrgzgiiaVSGKdJMmmpheeZAKKtX24zqDkPTWjfPLaWxBoo2+D1kReugZCN4LHrwTOgZLMZ6joSUvlbdlLeYhgY3K1bsZtmyPJYuzWXevFMsPUpjxvgFbdLkXtSPywCXh7PHZHH/2UcS4/TfR1On9uXii0czdmwvxo7tFVHgREXZ+b//i9APXAh9+yZH9F5pWheP4aGktiTMG+YVZuUN5U1u3z2uu2VcWE5iDqkxqZ3nI0+jOQByc3O59dZbeemllwBITU3l2muvxR4hrKEt6dIizeWr7mybA9uwfQc1S5cioqNJOuecNtlHl6S0Dgb/n3/eaYO/HG09nMyo7sHza0sip3tb85pxtwk1+6BobbCHbN9WAlsE+kjpFyDIRqn/iW3nxZkx4w3ef9/fmeL06YMsRVpSUgxHDE6jYmgS8YNTkVIy98hM7jlvVNhLd/z4zGaLL03HUOuqDfeGVedTUFVAQXUBriZ6Qo+xxwRVSYZ6w2Icus9JTdejpqaG++67j0ceeYT6+nqioqL485//zC233EJycsd8QHZpkebvfqNt4onKzKa33ab/EkdKyn6sDyMMCV/lwbie1j3Ep8aqTlkLzJZcLgM27QsXZKC8YkdmqP+ju6tfRyIlVOSHx49VFoTb2hyQMSTYO9ZzBMS0Xis0KSXbt5exZUspp502wNLm6KOzgkTasmV5XHppaI/8kF9WS+Kv++OWkmib4MZjB/Cbkwdor0gnxZAGe2r3WAqx/Kp8SutLm9w+PTY9OEA/QIilx6br86457LDb7bzyyivU19czc+ZM7r//fvr1a50GNQdKlxZpXk9aW8SkeaprqHj7bQBS58xp9fQPSUrr4LVNsHCD6ofsoalwUYT4sVHd/SINlIfMSqSlxsIX57dNfveH4VHesMJ1wV6yurJwW2cc9BgRXGWZMRScbeNxqKlp5MIL32Hp0lyKi2uIjXVQUXEzTmf4tT55cnBA+tKluWE2P+ws5fIXV1ImJX3T4njuwvEM6N42o3Fqmk+du46CqoKw7iryqvIoqCqg0Yg4+CVRtiiyErMsA/SzErKIcx58YxON5lBGSskHH3zApEmTSE1NJSYmhueee47ExEQmTpzY0dkDurhIa8uObCveeQejpobY8eOIGRJhPMfDjX+ug/k/+OcXboDfjrCOqxrfE3IrlWdsVHc4rnm9SLcZrnoo+SkgmH8dFP8Irtpw29jU8OrKtCPA1vrXmZTS0qMRF+dk+fI8iotrAKirc7NmTRETJmSF2R51VBb9+6cwcWIWkyfnhLUifP2HXG57ZwMuj2TKgHSevGAsSXG6q4P2QErJvvp9lnFh+VX57KlrepSL1JjU4GrJAM9Y97ju2EQbtkrWaA5hVq9ezXXXXcfixYu55pprePjhhwE4+eSTOzhnwXRpkeZqoyGhpGFQ9rJqMKC9aAHMGQYPr/APX/TTPvi+CCZa9Ob/x7Hq1xHUV6gWlYHxY3s3g2HRYq1bthJigR6yblmtEtBvxZ49NXz22XZfkP9JJ/VjwYJTw+yEEEyZ0ps33vjJt2zp0lxLkRYX52Tbtj+FLXd7DO79YCMLl+8E4KLJfbl12lAcocNRaQ6KBk8DBdUFYa0kvaKs3lMfcVuHzUFWgrU3LDsxm3hnfDuWRKM59MnPz+e2227jhRdeQEpJSkoKRxxxREdnKyJdWqS526jhQM3yb2jcsQNHz54knnRSq6bd6dm0D2Kd0MdirLOsRDi1L3y0A6JsMH0AJIcPAdOuVBWHjF+5Dsp2WhgK1b1FYPxYr1EQ1z7NrL0sXZrLBRf8xzdvVX3pZfLkHN544yfi4pwcfXQ2mZnNr54sr23kD6+sZunWvTjtgnvPGsH5Ew6Nfro6G1JKSutLLburyKvKo6S2icYuQFJ0kmV3FdmJ2fSI64G9DTy0Gs3hRlVVFX/72994+OGHqaurw+l08sc//pFbb7213brTOBC6tEjzjzjQup6BMrNZbsrMmQjnYVAt1OCBD7bBvzbAt7vhwuEwP8IwW1eMUVWZFwyD9Nj2y6OUqkPYoP7H1kF1cbitPQq6DwsWYz2GQ1TbeiVqahr57rsCli3L5cILR1sO+RM6ePDq1YXU1DQSHx/eAOO884YzeXJvRo3q0aSYC2VrSRWX/HsFO/fVkhYfxTNzxzGhb+d9SHUGXB4Xu2t2R6yWrHVbVIub2IWdXvG9ggL0vdWSWYlZdItq3uDOGo3mwFm5ciX33XcfAOeeey4PPPBAp/ageenSIs3nSWvFmLTG3Fyqv/wSERVF8nnntlq6nZrPdsJln/jn3/gZ7phs3XLzmEz1a0s8LtizOViMFa2Hhspw2+huqkPYQA9ZxuA26xA2Eldd9QH/+MdKPB5VFZyTk8Rvfzs6zK5HjwQGDkxlyxbVMs/jkaxdWxwm3gB69UpsssNXKxZvKuFPr66mqsHNsF7d+OeF48lKbkcx3UmRUvqGMwoVYHlVeRTXFjc5nFGiMzHYExY4nFF8Tz24t0bTzkgpWbt2LaNHq+fs8ccfzy233MIZZ5zBpEmTOjh3zadLPzlcDa0fk1b28isgJd2mTcPRiV2krcov+kKPOCg2vQW1LnhjM1wcoeVma9JYowL4vVWVhd4OYRvCbRN6hFRXjoTkvtCWQzqZGIYkP7/S0jsGkJ4e5xNooKo1rUQawO9+N4by8nqmTOnNMcfkkJp68CJKSsmzX23nwf9tQkqYdmRP5p87irioLv0ICMJluCiqLiKvOngoI+90lSvycEY2YSMzPjPYGxbQq74e3Fuj6TysXbuW66+/ns8++4zvvvuOo446CsDnSTuU6NJP6NbuzNaoqaH8PypeKKWrNBiQEr4rhE2lqod+qyB/px3mDve33JycBf3a4KVUWxre/9i+rWDlwWjnDmGtaGhw88gj37J0aS7Ll+fhdhuUld2E3SLwPrRF5bJleRHTvemmKa2az3qXh1v+s57/rFZ9uV1z8iD+eOIAbLau1w9WZWOlZVxYflU+RTVFeKQn4rZxjjifCAuMC8tJzKFXfC+c7ex91Wg0LWP37t3cdtttLFy4ECklycnJ7Nq1yyfSDkW6tEjzVne2VkxaxXvvYVRVETt6NLEjhrdKmh3OIyvhgW/V9Pge8FGEKty5w9XwTb8dAYMO0oMoper8NTR+rMJCuAg7dB+uBJlXjLVyh7AHSlSUnQULvmHvXn880vr1JYweHT5e6NFHZ2O3C/r3T2HKlN5MmdI7YvcarUlxZT2/f3Ela/PKiXXaefi8UZx+pIUQP0TwGB6Kaoss48LyqvKobLSo8jYRCHrG97TsriI7MZuU6BTdgatGcwhSXV3NvHnzmD9/PrW1tTgcDq666ir++te/kpbWwcMDHiRdW6Q1tJ4nTUrp63ajy3jRtpXBvO/98yuKYf0e1cN/KJkJcP9xLd+H4YF924LHryxcB3UWvaE741QAf2CVZfdhbdYhbCSklGzdWsrSpbksXZrLiBHdueaa8CGnhBBMnpzDf/+72bds6dJcS5GWmBhNSckNrVJ12VzW5pXz+xdXUFzZQFZyLP/8zXiGZXb+IPUaV01Eb9ju6t37Hdw7KyErLC4sO1ENZxRt7+DWxhqNptW54447fP2cnX322Tz44IMMHDiwg3PVOnRpkeYbcaAVGg7UfvcdDVu2Ys9Ip9svTjno9DoFe+vV8Ey7ArwPCzfAgggtN/eHu0F1CBvoISveEKFD2JQAMWb2Q5Y2oE06hG0p//nPRmbMeMM3P2lSjqVIA1WN6RVpSUnR1NRE7gG+PQXaf9cUcOOb62hwGxzVN5Wn5owlPaFzCBRDGpTUlviEV+CYknlVeZQ1WIzoEED32O5BcWGBQiwtJk17wzSaw4DS0lJf1xk33ngja9as4a677mLKlNYNF+lourZIMxsOtIYnrdTb7cb5MxFRFq0aD0Um9oKlF8A/1sK930BqDIxrZlxXfaVqURlYXblnUxMdwo4M9pAlZbdZh7D7o7y8nm++yWPChCzS08OHxjn66Oyg+RUrdlNf7yYmJvx2mT59EAkJUUyenMPw4d07PM7LMCTzPtnM00u2ATBzQg53nzmCKEf7dlBb66oNCsoPrJbc3+De0fbooA5bQ71hsQ7dGlWjOVxZv349N9xwAzt37mT9+vU4nU569OjB559/3tFZaxO6tEhrrS44XAUFVH+xGJxOUs4/rzWy1nmIccCfx8HsYZAWYy2cqkvCx68s3W6RmEWHsD1HQnzniAl49NFvef751WzYUIKU8PLLZ3PBBeEtVLOyutG3bzI7d5YD0NjoYcWK3WHB/wCDB6czeHB6m+e9OVTVu7jm9TV8trEEu01w+y+H8Ztj+rSJZ8mQBnvr9lrGheVX5bOvfl+T26fFpFl2V5GdqAb31sMZaTSaQAoLC7n99tt5/vnnMQyDbt26sWHDBsaMGdPRWWtTDguR5og6uAd+2auvgmGobjcyLOK1ugLpsSqgv3RHsHescB1UF4Xbd1CHsPujqWD8kpIa1q/39/6ueve37kbk1FOPYOvWUl+Q/9ixnTvYfte+Gi759wq2lFSTFOvkqdljmTzg4MRjvbveN5xR0ADf5nyDVTcoJk6bUw1nZBGgn52QrQf31mg0zaKmpoYFCxbw0EMPUVNTg8Ph4Morr+SOO+4gPb1zfCC3JV1apPlGHDiI6k6jvp7yN94EIHXO7FbJV7vQUA3fPwuN1fu3bayBog1mh7AV4eujElWHsIFVlhlD2r1DWCs8HoMlS3aaQf55/PzzPnbs+LNltWNLusF45plftnpe24rlW/dy5SurKK91MaB7As/9Zjx90/cvlr2De4d6w7y/krqmhzNKiU6xrJLMScwhIzZDD2ek0WgOCiklU6dOZeXKlQCceeaZ/O1vf2Pw4MEdnLP2o2uLNHOA9YOp7qx8/308FRXEjBhBzKhRrZW1tueHf8Lnd7V8u/ju4fFjKf3apUPYA0EIwYwZb1Be7h+keuPGPQwf3j3M9phjss1tYPjw7kyZkoNhyA6PIztQpJS8+O0u7nrvJzyG5MQh3Xls5mgSY/ziudHTGDy4d0C1ZEF1AXXuuojpO4SDzIRMy4G9sxOySYhKaI9iajSawwyPx4PdbkcIweWXX84zzzzDggULmDp1akdnrd3psiJNShlQ3XlgIk1KSelLqtuN1LlzDq1WY1vNIMrRsyG1n5reV6/G4DyxD2QHvGDtUZAxVImyxPDuIzoKw5D89NMeli7NJT09jhkzhoXZ2GyCSZNy+PDDLb5lS5fmWoq0lJRYFi++kFGjepCScmgHnze6De5490de/X4Xwl7LjEmxHD+8hFd//ldQ1xXFNcVIZMR0ukV1s4wL8w7urYcz0mg07cWPP/7IDTfcwPjx47n77rsBuPjii7n44ouxdVJHQVvTZZ/AbpcBEuxO2wF7SupWrqRh0ybsaWkknn56K+ewDWmshbzvAAG/uBfizM5nZ78Pn6TAf4FzBsFfj4Gslo392F588cUOzjlnkc9DNnVqH0uRBjB5crBIW73aIobO5Pjj+7ZqPtsDl8dFYU2hT3xtKd3Fh5s2UO4qImFQKcLewMdl8PHS8G3twq46cLXoRT8rIUsPZ6TRaDqc4uJibr/9dp577jkMw2D16tXccsstxMTEHLbizEvXFWkNB99owOtFSz7vXGyHUrcbud+ApxF6jfYLtMW58MlOv81bP8Op/eDXHSfSSkpqiI93Eh8ffmz7908JqsL87rsCGhs9RFl4RU85pT/bt5cxeXIOU6b0ZsCAQ29M1YqGClUNGTiupFktWVRbFD64tx3s5qFIcCaEBeZ7x5XsmdATp63jYwc1Go0mlNraWh555BEefPBBqqursdvtXHnlldx5553ExLRvJ+adlS4r0g523E5XURFVn34KDgcpM2e2Ztbanu1L1P/+x/uXfZ0fbHNULzhrQDtlyM8HH/zMW29tZOnSXLZsKWXRohmce274EFt9+iSRmZnI7t1q0Ov6ejerVxcycWJ2mO2ECVlMmJDV5nk/GNyGm6KaIsvuKvKr86lqjDy4t0DQK74XcbYebCmIwlWfQk5iNreffiyjehxBUnTSoVUVr9FoDnuKioqYMGEC+fnq3TR9+nQeeughhgwZ0sE561x0WZHmbji4RgNlr74GHg+Jp5+Gs0f7Dtx90GxfrP4fETBywO2T4KTecOtS+HEv3DelQzqTXbJkJ//61xrf/NKluZYiTQjBlCm9+fTTbUye3JvJk3PIzOycVbNeqhqrLLuryKvKo7CmsMnBvWMdsb7qyECvWE5iDr3ievHMl7t4+NOfAThrdCYPnjOSGKduPanRaA5NevToweDBg8nIyGDBggWccMIBjnTTxemyIs11EI0GjIYGyhctAiD1UBuns2av6krDEQM5Rwevm5wNn58H3+6G0a0rPEtL61i+PI9ly3JZv76E996bZendmTy5N/Pnf+Obb6objGef/SWJidGdpvWlx/BQXFtsLcSq86iw6r4kgO5x3cPiwrzVk6kxqZbHq7bRzTWvr+OD9YUIATedNoTLjuuvPWcajeaQYuPGjdx8883ce++9HHnkkQgheP3110lJSTns486aosuKNN/g6gfgSav88CM8ZWVEDx1K7NixrZ21tuW7j9T/5LHWA5PbbUqstSKGIenX7zEqK/2dm27ZUsqgQeEjDUyenOPPil3gcNjweAzs9vCbNCmp/WMSvIN7hwmxajWckdtq2CuTGHtMeFyYKcSyErJaPLh3QXkdv39hBT/uriQh2sHjs0Zz4pBDzKur0WgOa0pKSrjzzjt59tlnfV1r/Oc//wEgLa1zjEbTmemyIu1APWlSSsrMcTpT58w+dDwWy/Lhb99D9EIYDuT2b7Wk3W6DNWuK8HgMy5gwm01w1FFZfPaZf6ioZctyLUVaRkY8jz12GiNGdOeoo7JISGjfBhnewb2tRFh+VT6l9aVNbp8Rm2HZXUVOYk6rDu69clcpl724kr3VjfRJi+O534xnYI/OXd2r0Wg0Xurq6nj00Ud54IEHqKqqwmazcdlll3HXXQfQf+dhTNcVaV5PWgtbd9atWUP9jz9iT06m2xlntEXW2oZaN3xTAHO3qvnPU6HGBfEH3rJv9epCrr/+U779Np/aWhennNKfTz6Za2k7ZUpOkEhbujSXiy6yHlPtT3+aeMB5ag517rrI3rCqAhqNxojbRtmirL1hCdlkJWa1y+Dei37I49Z31uPySCYPSOPJC8aSHHcItS7WaDSHNUuXLuWCCy4gL0+Fs0ybNo158+YxbJh1N0qayHRZkeY2RxtwtLC6s8zb7ca5M7AdSk2AT+gN/WuhWznUx0JuBry3FWYO3e+mkca7TEiI4osvdvjmv/kmH7fbwOEIF77HHtuHkSN7MGVKDpMn9+bYY8MHI28tpJRqcG+LAP386nz21u1tcvvUmFTLfsOyE7LJiMvosMG93R6D+z/cxPPL1DH/7aS+3HrGUJwWVcEajUbTWenduzclJSWMGjWK+fPnc/LJJ3d0lg5ZurBIa3kXHK6SEio//hhsts7V7UadGz7aDq9uhDOOgN+OCLdx2GBaJUigZjg8fJKyteCbb/L46KOtrFpVyKpVhTz11BmcdVZ4s+cBA1LJyIhjz55aAKqrG1m/vpgxY8IHGz/xxH6sXXv5QRUzkAZPAwVVBZYDe+dX5VPvqY+4rcPm8Hm+gqolzenOOLh3Ra2LP7y6iq+37MVpF9x95ghmHdV2Qlej0Whai82bN/Pss88yb948bDYbvXv3ZtmyZYwePRq7XbdCPxi6rEjzDa7eAk9a+euLwO0m8ZSTcWZ1kn63PtsFl38CFWZQfnmDtUgD6LcdtgMXzoHx4d1aePnggy3cd9/Xvvlly3ItRZq3G4y3395Ejx7xTJnSu9VirqSUlNaXhg3s7Z0vqW16cO/k6GTLuLDshGy6x3U/pAb33lpSzaUvrGDH3hrS4qN4es44jup36HXIq9FoDi/27NnD3XffzTPPPIPb7WbkyJFceOGFAIwbN66Dc9c16LoirbFlMWmysZGyRa8DkDK7E3W7MSQVAlpNsqYENu6DoSFB+YYHdi8HYF/yRGJqGi178gcYOzbYE7Z0aeRuMO6990TmzTuF/v1TWizQGj2N7K7ebdldRX5V/n4H9+6V0MtSiGUlZJEY1TWC6BdvLuFPr66mqt7NkJ6JPHfheLJTOp+nT6PRaLzU19fz+OOPc99991FZWYnNZuPSSy/l1FNP7eisdTm6rEhzt9CTVvnxJ3j27CV64EDiJh7VllkLp9GjgvxTLGLgshPhuBz4MkBIfbErXKQVroH6ctyJvZn8yy/o02cV7747k+jo8FM8ZkzwIOo//lgSccilYcMyImZbSklFQ0V4L/rmdFFNUZODeydGJUbsN6xnfM8uPbi3lJLnvt7BAx9txJBw2vCeLDhvFPEW50uj0Wg6C2+//TbXXHMNu3btAuC0005j3rx5jBgRoYZHc1B02TeCt+FAc2PSvN1upMyZ037dbmzYC69thDc3wy+PgPkRelyeNUSNEjBjkGoIMDw93MYcCmrRigw2b97H5s37mDXrLRYtOjcs0L9v32Suv/4YRozozpgxvRg6NB1nhN7rXYaLouqi4DElAzxj1a7qiMWzCRuZ8Zk+ERZaLXm4Du5d7/Jw69sbeGuVGg7lzycN5M8nDew0nfZqNBpNJPLy8ti1axdHHnkk8+fP5xe/+EVHZ6lL02VFWkv6Satbv4G6tWuxdetG0vRftnXWFF/lwTn/9c+/vQXuORZiLU7JrwbA9AHQVFlMkfb2On9V5ttvb+Lxx7/j2muPCTIVQjBvnv/GqmioIH9f+HiSXm9YU8MZxTvjw4czMqf14N7hlFTWc9lLK1mdW06s086C80Yx7cjwhhgajUbTGdiyZQs//fQTZ555JgCXX345aWlpzJw5UzcKaAe6rEhryYgDXi9a8jnnYItrp3igYzIhIxb2mHFZlY3w4TY4Z3C47f7GaGyshdxvkQjyHaMAlebZZw/lqqsm4DbcFNcWW3ZXkV+VT2VjZcSkBYKe8T0tu6vITswmOTr50Onwt4NZl1/O719YSVFlPVnJsTz7m3EMzzw8vYkajaZzs2/fPu655x6efPJJ4uLi2Lp1KxkZGURFRTF79uyOzt5hQ5cVaX5PWtMNB9z79lH54YcgBCkXzGrdTGwtU60yx/UMX+e0w4zB8LQ52HhStGq5eSDkfUu14SI/cxhX/2sIf13wX7KGSdImFPDrDxZSWF2IW0YezijWERvei745nZmQSZRdd6R6sLy7djc3vLGWBrfB+D4pPDN3HOkJLRsmSqPRaNqahoYGnnjiCe69917Ky8sRQjBjxoyOztZhS9cVac30pJUvWoR0uUg44QSicnKatG0W1Y2q6vLVjfBDEYzvAR+da207ayhsKlUxZ6f3h5jIp8NjeNhTt8fnDQuqlizdTFnfHKAK1t9K9C9gL7C30L9997juQbFhgd6w1hzOSBOMYUgWfLqZJxdvA+D88TncfdZwoh26mkCj0XQepJS88cYb3HzzzezYoTrUPuWUU5g/fz4jR47s4NwdvnRZkeYbcaCJOC7pclH26msApMxpJfft3jq4drF/fkUxbCmDgSnhtkPTYNGvfLO1rlrL7ioKqgooqC7AZbgi7jbaMMhOyCQndUiYEMtMyCTGcQiNntBFqG5wc/Vra/hsYzF2m+CvZwzlwkl9tSDWaDSdkkceeYQdO3YwbNgw5s+fz2mnnaafVx1MFxZp+x9xoOqzz3CXlBDVvz/xkya1zo77JsGkTFi+27/s1Y1we+T0N+7byM1f38z2iu0RbQDSY9PJTsimoSSe3HWS6y89jf5xyeS8cDbpOBE3rwBn248tqdk/uftqueSFH/i5uJpuMQ6emj2OKQMtWuVqNBpNB7Ft2zacTie9e6uOyh999FHWrl3LxRdfjMPRZeXBIUWXPQv+EQcix6SVmuN0psy+oPlfCzUueH8bVDXCJRFcwLOG+kXapEwY2yNicst3L+eaxddQ664lyhblG8ooNEYsKyGLOGccf//7d/zpT/8DYOHPdbxzrweHx4B+R2uB1klYvm0vV768ivJaF0dkxPPchRPolx7f0dnSaDQaAEpLS7n33nt54okn+NWvfsWbb74JwMSJE5k4cWIH504TSNcVaY1Nx6TVb9xI3cqV2OLjSTrzrP0nuK8O7vkG/rsFql2QHA1zhlnHkU0fALmVcN4Q5VmLwLvb3uWOZXfglm6m9ZvGPZPvaTJIf+HCNT6BBmp4p68GruTEJKD/8fsvg6bNefHbXdz17o+4DckJgzN4bNYYusXobkg0Gk3H09DQwFNPPcU999xDWVkZQggSExNxu93ac9ZJ6bJnxd3QdGe2pWa3G0lnn409oRlejsQoNch5tRkXVt4AH++EMweE28Y74cbIXyNSSp5b/xyPr34cgItGXMTVY6/GJppuifqrXw1mxIjubNigxrV0OgUT038GF3BEhI5wNe2Cy2Nw57s/8vJ3uQBcNrU/N546BLvuoFaj0XQwUkreeustbrrpJrZvV2E1J554IvPnz2fMmDEdnDtNUzRvYMtDDMOQeNwGCLA7w4voLiuj8v0PAJrf7UaUHc4ZFLzs1U37cXgAACAASURBVI0tzpvH8HDfd/fx+OrHEQhuPupmrh137X4FGkBqaiyffjqXAQNSiY118PmbxxHvKoTYFOipW990FKU1jcx57jte/i6XKIeNh88bxV9OH6oFmkaj6RTs2rWLWbNmsX37doYOHcr777/PZ599pgXaIUCX9KS5A0YbsIo1K3/zTWRDA/HHHkt0v37+FauL4ak18M8Ig8TOGgr/XAc94lRV5swhLcpXnbuOm766icV5i4myRfHgcQ9ySp9TWpRGz54JfPbZXAoKqpgU9SmsAvodBzbdpUNHsKmokkv+vYL8sjq6J0bzj7njGNPboiWvRqPRtCP5+flkZWUhhKBv377cdttt9OjRg0suuURXbR5CdMkz5esjzaIjW+l2U/bqqwCkhna7cdOXsLoE/jIR+ieHJ3xkBrxzFkzMBEfLnJBl9WX84Ys/sG7POrpFdePvJ/6dsT3GtigNL336JNOnTzIsWqIW9D/+gNLRHBwf/1jENa+vobbRw8jsJJ6dO56eSbqrE41G03GUlZVx//338/jjj/PKK69wzjnnAHDHHXd0cM40B0KXrO50N9FooGrxYty7C3H26U38scf6V6wtUQIN4PVNUOcGKcMTn5zdYoGWV5XH3I/msm7POjLjM3nx9BebFGg1NY3ccMMn1NQ0Rk7U8MCOr9R0fx2P1p5IKfn751u47MWV1DZ6OHN0JosuO0YLNI1G02E0Njby+OOPM2DAAObPn09jYyOrVq3q6GxpDpIu6kmL3JFtmdntRurs2QhbgNh66Sf/9GubVKvNa8YfdF5+3PcjV352JaX1pQxJHcJTJz1FRlxGRPvy8nrOOOMVli/PY82aYt57bxYxVi1IC9dCXRkk94HUfuHrNW1CXaOHG95cy/vrChECbjx1CJdP7a87fNRoNB2ClJJ33nmHG2+8ka1btwIwdepUFixYwLhx4zo4d5qD5bDypNX//DO1332HiIsj6de/9q9weeC9rf753dXWIwS0kK/zv+ai/11EaX0px/Q6hn+d+q8mBdqePTWccMK/Wb48D4DPPtvOrFlv4XYb4cbbl6j//Y8/6Hxqmsfu8jrO/cdy3l9XSHyUnX/OHc8Vxx+hBZpGo+kwFi5cyNlnn83WrVsZPHgw7777LosXL9YCrYvQJUWaryPbEE9a2cuvAJB81pnYExP9K5x2WDYb7poMRyRD9zg4te9B5eHtLW/zxy/+SJ27jun9p/PkSU+SEJXQ5DZRUXZsIS0Cd+0qp6rKYuB1LdLalZW7yvjVE8vYUFBJ79Q43r5qMicPi9xJsUaj0bQV9fX1vunzzz+fsWPH8uSTT7J+/XqmT5+uPxy7EG0q0oQQpwkhNgshtgohbrZY31sIsVgIsVoIsU4IMa019usfEspfPE9FBRXvvgtAymyLcTrTYuHKMfDNbPjfDCXcDgApJU+vfZrbl9+OR3q45MhLuG/KfTjt++/QNCkphv/9bzZDh6rhgyZPzmHx4gtJSQkZScBVB7nfAgL6TT2gfGqazxsr8pj17LfsrW7gmP5p/PeqyQzqkbj/DTUajaYVKS8v58Ybb2TgwIFUVFQAEBcXx4oVK7jyyitxOnXH2V2NNhNpQgg78CRwOjAMmCWEGBZidhuwSEo5BpgJPNUa+/aONuAIqO4sf+s/yLo64icdQ/QRRzSVccjpdkD7dRtu7vrmLp5a8xQ2YeO2ibfx57F/btFXTUZGPJ9+Opff/W4MH388hySrYPTcb8DTAL1GQnzaAeVVs3/cHoN73/+JG95cR6PH4MJj+vDC744iJT7yqBAajUbT2rhcLp544gkGDBjAvHnzyM/P58MPP/St156zrktbNhw4CtgqpdwOIIR4DTgTCIjQRwJeRZQE7KYVCB1tQHo8lL2iqjpT5sxpjV2EUeuq5YavbuCr/K+Itkf/P3v3HR51tTRw/Ht2k01vJNRASELoVZo0KQqKqCAiegURfQW8IjZAEAUURJqAWFGKBVTQa6EoFxAEVOCK9A5SAqGXUELqlvP+sckSQsqmbJaE+TxPHrb+doIShjnnzDC57WTujLizQNcKDw9k9uyuOb9Aljpd7nKymefnb+X3A+fwMCjGdqtHr9sj3B2WEOIWorVm8eLFDBs2jAMHDgBwxx13MHXqVJo1a+bm6ERxcGWSFg7EZbp/HMg6K+lNYIVS6nnAD+iY3YWUUgOAAQAREXn/RXltuLo9Sbu69nfMx4/jGR6Of7uiXx68kHyBQasGsevCLoK9gvngzg9oVK5Rru9JSjLj5WXEaCxAMVOSNJc6dO4q/b/cxOHziZTxMzGjd2Nuj5aKpRCieA0cOJBPPvkEgOrVqzN58mS6desmlbNbiCv3pGX3f1HWxmOPAV9orSsDXYB5St04H0lrPVNr3VRr3bRs2ZxPR2ZwDFdPr6RdTJ/TGdKrF8qYaa+ZLZs+aPl07Mox+vy3D7su7CLcP5y5987NM0FLS7Py4IMLeOSR70lJseTvAxMvwKkdYPSCiJaFiFxkZ+2Bczz40ToOn0+kVoUAFj3XWhI0IYRbPPTQQ4SGhvL++++ze/duHnzwQUnQbjGurKQdB6pkul+ZG5cznwY6A2itNyilvIEw4GxhPtjiON1pIPXwYRLXr0d5exPc46HrX/jgTxDuD33qQstK9v1o+bDz3E4G/TaI+JR4apepzccdPybMJyzX99hsmr59F/Lrr/Yht/fe+zULFz6a/d6z7MT+DmiIuB08ffJ8uXCO1po5fx5h/NK92DTcU7c80x5phJ9XqWwlKIS4yVy5coWJEycSHx/vqJ516tSJ2NhY/P1z7wwgSi9XVtL+BqorpaKUUibsBwMWZ3nNMeAuAKVUbcAbOFfYD7akpe9J8zI6mtcGPfAAxuBMo57ik2HDSfj+AHT7Cdp8Y58y4KS1cWt5esXTxKfE07pSaz7v/HmeCRrA2LFrWbBgl+P+mjWxvPTScqc/l0Or7b/KlIEik2qx8sr3Oxj3iz1Be+Gu6szo3UQSNCGEy1ksFmbMmEFMTAwTJkxg1qxZxMbGOp6XBO3W5rIkTWttAQYBy4G92E9x7lZKjVVKZeyKHwL0V0ptB+YDT2qd3Sym/MlY7jRqC5cXLgSyOTBw9Mr19w0KfJz7S/n7A9/zwuoXSLYk061aNz646wP8PP2ceu/TT9/maLEBUL16GSZNynYrXvZkP1qROpuQwmMz/8f3m4/j7Wngo16NGdypxg396oQQoihprfn555+pX78+AwcO5Ny5c7Ru3Zr169cTGRnp7vDETcKlpQKt9VJgaZbHRme6vQdoXdSfm3FwIG3HFjySkvBt1gzvmjWuf9GxhOvvV8m775XWmo+2fcSnOz4F4JkGz/Bco+fytUegSpUg/vjjKe6/fz5Hj15ixYo+lCvnXIJH/BG4dBS8g6FiQ6c/U2Rv14nL9J+7iVOXU6gU5M3MJ5pSLzzI3WEJIUo5i8XCvffey8qVKwGoVq0akyZN4qGHHpI9Z+I6pXI9J6OZbeqfa/Elh7YbdUPtEwaOXYG4BGhWIddrmm1mxm4Yy8KDC+090FqMpGeNngWKLzTUl5Ur+3DyZAKRkcF5vyFDRhUtqi0YCtZsV9gt2X6SV77fTorZRpOqIXzyeBPKBni5OywhxC3Aw8ODKlWqEBISwujRoxk4cCAmk/RfFDcqlUlaRiXNdvo4HhUrEnBXNv3KYkLsX05IMicxeO1g1p1Yh7fRm3favUP7Ku0LFaOfn4nq1fN5ajAjSasm+9EKymbTvLvyAB/8Zp/V+kjTyrz1YD28PCTpFUK4RkJCApMmTaJdu3Z06tQJgEmTJjF16lRCQgo/J1qUXqUyScs4OGC0mQl57DGUR8G/zfPJ5xm4ciB74/cS4hXCh3d9SIOyDZx676FD8UREBOFZwBFT17FZ4cha++3o9oW/3i3oaqqFl7/dxq97zmBQMPK+OjzVOlKWF4QQLmGxWJgzZw6jR4/m7NmzLF68mG3btmEwGHCmnZQQpTJJS7uaDICHwUZwz4cLfJ0jl4/w7MpnOXH1BFUCqjCj4wyqBlZ16r0HD8bTuvVnNG1aie++exi/wo4SOr0Dki9CcASERBXuWreguPgk+n25if1nEgj09uDDXo1pW0N+SAohip7WmmXLljF06FD27LEP2WnRogVTp07FYHDpyGxRypTK/1vS4u0nNwPbtsKjgKXkbWe38cR/n+DE1RPUDa3LvHvnOZ2gnTqVwN13z+Ps2USWLv2HTp3mER+fXKA4HDKf6pTKT75sOHSBrh/+yf4zCUSX9WPhc60lQRNCuMSxY8e4++676dKlC3v27CEqKorvvvuO9evX06pVK3eHJ0qYUpek2RITSUtKAyCsR7cCXeO3Y7/Rb0U/LqVe4o7wO/jsns8I9XF+/9jAgUs5cuSS4/6GDcf57LOtBYrFQVpvFMhX/ztKnzl/cTHJTLsaZVn4XGuiy0rfISGEawQHB7N9+3aCg4OZOnUqe/fupWfPnrKtQhRIqVvuvLRoEVaDvY2Cf71a2b8o1Qpag/eN3/7Oczt5ec3L2LSNHtV7MLLFSDwM+fttmjHjPo4cucj27WcA6Nu3IYMHF2KEkzkZjm6w345qX/Dr3ELMVhtjl+xh3v+OAjCgbTTDO9fCKP3PhBBF6OrVq3z44Ye88MIL+Pr6EhgYyI8//kjt2rUJDZWRcqJwSlWSprUm/utvsFV+EQAPUw4b9lccgf9bBuV8ISIAulSD5xsDsPH0Rmzaxr2R9/JGyzcK9K+fChX8Wbv2Sbp1W4C/v4lZsx4oXHPUY/8DaypUaAB+8oc+LxcT0xj49RY2HL6AyWhgwkP16dGksrvDEkKUIlarlc8//5xRo0Zx+vRpzGYzo0aNAqBNmzZujk6UFqUqSUvasIHUw7HoKkYMBoXRI4fV3Lj0RrZnk+xf9cs5njqTZK9+1QurV6jydFCQN8uWPY7Npgt/ulOWOp22/3QC/eb+TVx8MmUDvPi0TxMaR8gRdyFE0Vm+fDlDhw5l1y77iL/mzZtz553ZtHoSopBKVZIW/9XXWI32U5QeXrkkRseyjISKuDZt4GySfbZ7Ob9yFJZ3NsupBSJJmlN+3XOGlxZsJTHNSv3wIGY+0YSKQTKEXghRNHbv3s3gwYNZsWIFAFWrVmXixIk8+uijsudMuESpSdLSjh/n6urV2Hzty4GeplzORCSa7bM6beljQqsEOp46k2ivpFXwzX0CQYbTp69SoYILN6InxcOp7WA0QUQh9rWVYlprPl5ziCkr9qM1PNCwEu883ADvouhPJ4QQ6f755x9WrFhBUFAQr7/+Os8//zze3t7uDkuUYqUmSbv4zXzQGu/2HSExj0raBx1hWgc4mQhxV6BmGcdTGcud5X3L5/mZhw9fpH79GTz+eH0mTepEcLAL/rAeWQtoiGgBJt+iv34Jl5xmZdgPO1iy/SRKwSv31GRg+2ryr1ohRKElJiaydu1aunTpAkC3bt2YNm0affr0ISwszM3RiVtBqWjBYUtO5tIPPwDg1+UBADxzS9IAPI1QNRDaVIay9uTHbDNzPvk8CkWYb+5/ALXWPPPMzyQlmZk5cwt16nzEkiX7C//NZCVLnTk6dTmZRz7dwJLtJ/EzGZnZpynPdYiRBE0IUShWq5XPPvuM6tWr07VrV/bt2weAUoqXX35ZEjRRbEpFJe3ykiXYLl/Gu0EDjBHRwBY8CrDUdSH5AhpNmE8YngbPXF87d+52Vq487Lh/6tRVzp1Lyvdn5kmStGxtOXaRZ+Zt5lxCKlXK+DD7iWbUrBCQ9xuFECIXv/76K0OHDmXHjh0ANG3alJSUFDdHJW5VJb6SprXm4ldfA1Cmz+NY0uzD1T298v+tnU48DTi31BkTU4aaNa+1w7jzziieeqpRvj8zV/FH4GIseAdDxSK+dgn2w+bj/OvT/3EuIZWW0aEsfq6NJGhCiELZvXs3Xbp04e6772bHjh1ERETw9ddf89dff9Gokfz8Fe5R4pO0pL//JvXAAYxhYQTecw/m9CQtxx5pucjPfrTWrSPYtu3fjBx5B4GBXsyceX/RL7NlDFSPagsG2QRvtWnGL93LkP9sJ81qo0+Lqsx9ujkhhZ2LKoS45b311lv897//JTAwkIkTJ7Jv3z569eolszaFW5X45c6MKlrII4+gTCYsqRmVtPwnNY72G77Otd/w9vbgrbfuZMiQVq45NHBotf3X6PZFf+0S5kqKmee/2craA+fwMCje7FqXx1s4N0tVCCGySkpK4syZM0RFRQEwfvx4wsLCeOONNyhbVmb7iptDiU7SzKdOkbBqFXh4EPzoo/bH0mxALqc7f/rH3ictIsDeeqNmGQiwV2Iy2m+U98u7kpaZSxI0m+1aJS26fdFfvwQ5fO4q/eZu4vC5REJ8PZnxeBNaRMvkBSFE/tlsNubNm8frr79OeHg4GzZswGAwEB0dzYcffuju8IS4TolO0i7OXwBWK4FduuBZ3l79MmdU0nJa7vxhPyyPvXZ/1j3wYHUgf8udLnd6ByRfhKAIKBPt7mjc5vcD5xj0zRaupFioWT6A2X2bUqWMtCIRQuTfb7/9xpAhQ9i2bRsA5cuX5/z585QrV/jm5UK4QoldbLelpHDpu+8ACHn8ccfjFseetDxGQmWIuNbINmO5M7skLTb2EqmplsKEnD+OU53t4BZsKaG1Zs6fR3jy841cSbHQqU55fhjYShI0IUS+7d27lwceeIC77rqLbdu2UblyZebOncvff/8tCZq4qZXYStqVX5ZivXQJ7zp18Lnt2smba6c7s6mkaX3jSKgq104FOippWZY709Ks3HffNwDMnv0ALVtWKYpvIXeH0/ejVevg+s+6yaRarIxauIvvNh0H4Pk7Y3i5Y43CDakXQtySUlJSaNu2LefPn8ff358RI0bw0ksv4esr/+ATN78SmaRprYn/+ivAXkXLfKrSnJq+Jy275U6bhuG326tpcVfgdCKE+aQ/ZXMkaVkPDkyc+Cd79pwDoHXrzxg0qDnTp3d2XdJgToajG+y3o9q55jNuUucSUvn3V5vZfPQi3p4G3nm4IQ80rOTusIQQJUhycjJGoxGTyYS3tzevvfYa+/fvZ8yYMZQvfxNsZxHCSSUySUvZvp3UPXsxhoQQeF+X654z51ZJMxrg39n3u7mYchGLzUKQVxA+HteGcu/Zc45x43533Ncarl5Nc21VJ+4vsKZChfrgd+t0tt514jID5m7i5OUUKgZ5M7NPU+pXDnJ3WEKIEsJms/HNN9/w2muv8fLLL/Pyyy8DOH4VoqQpkXvSUg4cAMC/XTsMXl7XPWfJ6+BADnKqolWo4E+fPg0c98uV82PKlLvzHXO+3IJTBn7ZcYqHP1nPycspNI4IZtGg1pKgCSGctnbtWpo3b06fPn2Ii4tjyZIlaK3dHZYQhVIikzRs9iVNlSVBAzI1s83ft+Zov5Hl0ECZMj7MmdONlSv7EB0dwgcf3EuZMj7ZXaLo3EJJms2mmfbrAZ77ZgspZhsPN6nM/AEtKBfggrYmQohSZ//+/XTr1o327duzefNmwsPD+eKLL/j1119ljq8o8Urkcqe22hMxZbwxEXOc7sxnM9u82m/cdVc0u3cPxKsATXLzJSkeTm4DowkiWrn2s9wsMdXC4O+2sXz3GQwKXutSm6fbRMkPViGEU/7++29atmyJ1WrFz8+PV199lcGDB8uhAFFqlMgkDau9koa6MUnLODiQ3+XO3NpvZPD2LobfriO/Axqq3A6m0vuDJi4+if5zN7HvdAIB3h582Ksx7WpIl28hRO5sNptjVFOTJk1o0qQJjRo1YsyYMVSoUMHN0QlRtErkcqe22atl5FJJy/bgQPp+tezk1H6j2N0CS51/Hb5At4/Wse90AtFhfix8rrUkaEKIXNlsNubPn0+dOnWIjY0FwGAw8Mcff/Dpp59KgiZKpRKZpGVU0lQ2Q8czJg7c0IJDa6g9B+rMgbu/g6eXQaLZ8XTGnjRfazAHDlxwUeBOcCRppbM/2jd/HaP37L+IT0yjbY2y/PRca6qV9Xd3WEKIm9gff/xBixYt6NWrF/v372fGjBmO50wmkxsjE8K1SmSSVqBK2uVUSEiDc8mw9SysOAK+15YvMyppX350kAYNZjBx4p+YzTlX3lziYixcPALeQVAp+1YhJZXZauONRbt47aedWGyafm2i+KxvU4J8PN0dmhDiJnXgwAEeeugh2rZty99//03FihWZM2cO48ePd3doQhSLEr0nLdtKWsaA9aynO7OOg6oc4Bi3pLV2JGnffXYUW6qJESNWsWDBLhYvfoyIiGJqBZFRRYtqC9l8byXVxcQ0nvtmC+sPXcBkNPB293r0bFoMUxuEECXW7NmzefbZZ7FYLPj6+jJs2DCGDBmCv79U3sWto0QmaTlV0rTWmWZ3ZklyziaBUYE1vW9OlWszOxPMCSRbkjFaTdiSrlV2LBYbFSoU4w+EUrgf7cCZBPrP3cTRC0mE+XvxaZ8mNKka4u6whBA3uZYtW6KU4umnn2bs2LFUqiSTR8Stp0QmaTlV0ixmG2gwehpunAhwV1U4/iycugrHEiBTpS1jP5pHcgBKKTL6H77xRjtM+TwlWmA2Gxxea79dSvajrdp7hhcXbONqqoV64YHM7NOUSsEu7jEnhChxtNZ8++23LFu2jM8//xylFHXr1uXo0aNUrFjR3eEJ4TYlMknLqZKW57QBD4O9gpapigbX2m80ionhl1NDWLLkAD//fIDOnWOKNvDcnNkJyfEQVAXKRBff57qA1ppP1h5m8vJ9aA33N6jIOw83xKe4El4hRImxbt06hgwZwl9//QVAr169uPtu+1QXSdDEra5EJmmOSprx+r/0HSc7vfI5bSBT+43y5f3p168x/fo1LoJA8yHzUmcJbuaaYrYy/IcdLNp2EoChd9fguQ4x0qBWCHGdQ4cOMXz4cH744QcAypcvz1tvvcWdd97p5siEuHmUzCQto5KWZbnTMVw9v3M7cxgJVawOrbb/Gt3efTEU0unLKQyYt4kdxy/jazIy/dFG3F1XehcJIa43cuRIJk+ejNlsxsfHh6FDh/LKK68QEBDg7tCEuKk4laQppUxAhNb6oIvjcYp2VNKyLHc6TnYW7UgolzOnwLEN9ttR7dwTQyFtPXaRZ+Zt5mxCKpVDfJjdtym1KgTm/UYhxC3Hw8MDi8XCk08+ybhx4wgPD3d3SELclPJM0pRS9wHTABMQpZRqBLyhte7u6uBylEMlzbEnrYBzO8v5lit8bAUR9xdYUqB8ffAveZ33f9p6nOE/7CTNYuP2qDLMeLwJZfykwaQQwr5H9fvvvwegZ8+eALzyyis8+OCDNGpUuvpBClHUnKmkjQVuB1YDaK23KaWKcUf9jXKqpJlzar9xPAH+sx8iAqByIEQGQnk/x9OO5U53jYRy7EcrWVU0q00zedk+Pv39MAC9b4/gza518cymybAQ4tazYcMGhgwZwoYNGyhfvjydO3cmICAAPz8/SdCEcIIzSZpZa30py8Zv7aJ4nJPTnjRHJS1LkrDzHIz/37X77avAf7oBcOVKKvtPHsXgC5tWX6HqvWn4FXcV6HD6frRqJaf1xpUUMy/O38rq/efwMCje6FqXPi2qujssIcRN4PDhw4wYMYLvvvsOgHLlyjFmzBh8fKQFjxD54UyStlcp9QhgUEpFAS8C/8vjPS6V8560HA4OHMsybSDi2l6pJf/djcE3DZtF0feRZUypt5UdO54t+qBzkhQPJ7eB0QQRLYvvcwvhyPlE+n35N4fOJRLs68nHvRvTqlqYu8MSQrhZUlISo0eP5oMPPiAtLQ1vb2+GDBnCsGHDCAyUPapC5Jcz61KDgCaADfgRSMGeqLmPzZ6k3VhJy+HgQNyV6+9XuXaC6KeVmwGwXPQBrbjnnmpFG2teYv8ANFS5HUx+eb7c3f785zwPfrSOQ+cSqVk+gMXPtZEETQgB2IedL126lLS0NJ544gkOHDjAuHHjJEETooCcqaTdo7UeDgzPeEAp9RD2hM0tMprZ5lRJ88h6cKBtFVDY53fGJUB1+1girTU7Dh/Cqw2Y4+1l+G7dark2+KxKyH40rTVfrI9l3C97sdo0HWuXZ/q/GuHvVTK7uAghCk9rzU8//UTLli2pWLEiHh4ezJ49G29vbxo3LuZek0KUQs78DTuSGxOy17N5rPhYc6ikOZY7sxQI7460f2WhlOKdT1oxcv0vRJerQtnm4bRsWdkFAefCkaTdvA0cUy1WRi/czbeb4gAY1CGGwZ1q3Dh6Swhxy9i4cSNDhgzhzz//pH///sycOROAVq1auTkyIUqPHJM0pdQ9QGcgXCk1LdNTgdiXPt0mx0paag6VtFycS7GPhOrcuiFDX+pXRBE66eJRiD8MXkFQ6eY86XT+air/nreZTUcv4uVh4J2eDenaUAYdC3Grio2NZcSIESxYsACAsLAwqZoJ4SK5VdLOAruw70HbnenxBOBVVwaVpxwrafbH8zNxwK3tNzKqaFF33PC93Ax2n7zMgLmbOXEpmQqB3sx6oin1Kwe5OywhhBtcunSJCRMm8N5775GamoqXlxcvv/wyr776KkFB8nNBCFfIMUnTWm8FtiqlvtZapxRjTHnKq5KWn2a2bp02kHle503mvztPMfi77SSbrdwWEcynjzehXKC3u8MSQrjJwYMHmTx5MgC9e/fm7bffpmpVabsjhCs5syctXCn1NlAHcPwtrbWu4bKo8pJDJc2SUzPbXJxNsi93Fvu0AZsNjqy1346+efqj2Wya91b9w3ur/gHgocbhjO9eH2/Pm6/SJ4RwHa01GzZscOwxa9q0KRMnTuTOO++kWbNmbo5OiFuDMy04vgA+x34+8l7gO2CBC2PKk3Y0s71+4/q1iQOZvi1b7n13MyppFfyKeRD4mV2QdAGCqkBoMbf9yEFSmoXnvtnCe6v+waBg5H21mdqzoSRoQtxirrQ8CQAAIABJREFUNm3aRPv27WndujW//fab4/Hhw4dLgiZEMXKmkuartV6ulJqitT4EjFRK/eHqwHLlaGab08SBTI+/8ad9JFTlAKgSCE/VIzYigF69fuCBbjFcqHABgzIQ6hNabOED16YMRLcD5f5TkscvJtF/7mb2nrpCgJcH7/e6jQ413TTLVAjhFseOHeO1117j66+/BiA0NJQLFy64OSohbl3OJGmpyj4T6pBS6t/ACcCtf3tfq6Rl7ZOWfnAgc5IWlwAXUuxf28/B/dEs2nqCDRuOs2n/AWpO03gk++Np8Cyu8O0c+9Hcv9T5d2w8/563mQuJaUSF+THriabElPN3d1hCiGJy5coVJkyYwLvvvktqaiomk4mXXnqJESNGEBwc7O7whLhlOZOkvQz4Ay8AbwNBwP+5Mqg85VFJu25PWlyWkVCVA1n0kX2qlUeZJACCjMVcRTOnwNEN9ttRbYv3s7NYsPEYoxbtwmzV3FE9jA8fa0yQbzEnrEIIt5o8eTITJ04E4F//+hcTJkwgMjLSvUEJIfJO0rTWf6XfTAD6ACilirnjaxY5DFi3ZLcn7VTida+5EmLijz+OAeAZkgxAtfJVXBRoDo5vBEsylK8H/u4pSlqsNsb9spcv1scC8HSbKEbcWwsPozPbFIUQJZnWmjNnzlChgn0v7pAhQ9i+fTsjR47k9ttvd3N0QogMuSZpSqlmQDjwp9b6vFKqLvbxUHcCeSZqSqnOwHuAEZittZ6YzWseAd4ENLBda90rr+vmNGDdMXEg83LnzifhdKK9onbsCoExZThy5EUWL97PV/vmkQBUK1fMSdqhjP1o7Yv3c9NdSkrjuW+2sO7gBUxGA+O61+ORpsX8eyCEcIstW7YwdOhQDh06xP79+/H29iYkJIQlS5a4OzQhRBY5lk2UUhOAr4HewDKl1OvAamA7kGf7DaWUEfgI+4nQOsBjSqk6WV5THRgBtNZa1wVecipqaw6VtNRsmtkaDRAeAC0qwSO1wKCoXDmQgQOb0b2PPTEp9vYbbtyP9s+ZBLp9tI51By8Q5m9i/oDbJUET4hYQFxfHE088QZMmTVi9ejVXr15l165d7g5LCJGL3Cpp3YCGWutkpVQZ4GT6/f1OXrs5cFBrfRhAKbUg/Zp7Mr2mP/CR1voigNb6rDMX1rYbK2k2m8ZqsYECo6dzS3aORrbFOW0g+SKc3AoGT6jasvg+F/ht3xlemL+Nq6kW6lYKZOYTTQkP9inWGIQQxSshIYGJEycybdo0UlJSMJlMPP/887z++uuEhIS4OzwhRC5yS9JStNbJAFrreKXUvnwkaGBfJo3LdP84kHWzQw0ApdQ67Euib2qtl2W9kFJqADAAICIiAqrF2J/IVElzTBswGVFOtrRwjIQqzmkDR/4ANFS5HUx+xfKRWms+/f0wk5btQ2u4r35F3unZAF+TM+dGhBAl2T333MOGDfaDSo888ggTJkwgOjrazVEJIZyR29/S0UqpH9NvKyAy03201g/lce3sMqWsnWU9gOpAe+x73P5QStXTWl+67k1azwRmAjRt2lRnV0lzNLLNx0iojGkDFXyLsZFtxlJntfbF8nEpZisjftzJT1tPADCkUw0G3RnjdCIrhChZtNZYLBY8Pe2ntF96yb6LZOrUqbRsWbzVeyFE4eSWpPXIcv/DfF77OJB5s1Nl7EumWV/zP621GTiilNqPPWn7O9crZ7MnLeNkp6fJuaVOm7Y5krSyvmWdek+RcDSxdf1+tDNXUhgwbzPb4y7hazIy7ZFGdK5XzJMVhBDFZtu2bQwdOpT69evz7rvvAtCzZ0969uwp/zATogTKbcD6qkJe+2+gulIqCnsD3H8BWU9uLgQeA75QSoVhX/48nNeFs62kpR8auK5H2rzd4GWEKoFsuZzEjO/30O3BWtx1VxSJXMaiLQR7BePtUUyDwy8ehfjD4BUEFRu59KO2x11iwLxNnLmSSniwD7P7NqV2xUCXfqYQwj1OnDjByJEj+fLLL9Fas3PnTsaNG4efn58kZ0KUYC7blKS1tiilBgHLse83+0xrvVspNRbYpLVenP7c3UqpPYAVeEVrnfcMkoxKmjGbSlrm5c5xGyA+BYDvE5OYnZzM7Dlb8fX15IW3oyCkuPejpQ9Uj7oDjK7bD7Zw6wmG/bCDNIuN5lFlmNG7MaH+Xi77PCGEe1y9epXJkyczZcoUkpOT8fT05LnnnmPUqFH4+RXPnlchhOu4dOe41nopsDTLY6Mz3dbA4PQv56+bUUkzZK6kZZk2cDXNkaABLDSnOW4nJZkxhSaDrZjbbzhab7R3yeWtNs07y/fzydpDAPS6PYI3H6iLyUMa1ApR2pw/f5769etz+vRpAHr06MHEiROJiYlxc2RCiKLidJKmlPLSWqe6MhinZVNJu2G4eqZxUP9Yrey1WB33jUZFRF0P2FmM7TdsNjicXklzwX60hBQzLy7Yxm/7zmI0KN58oA6Pt6gqSx1ClFJhYWG0aNGCU6dOMXXqVFq3bu3ukIQQRSzPJE0p1RyYg31mZ4RSqiHQT2v9vKuDy0l2lbQbDg74e8LARhCXQNWjV1jmUY5F1QJZvHg/NWuGkaDjgWJc7jyzC5LOQ2BlCK1WpJeOPZ9Iv7mbOHj2KsG+nnzcqzGtYsKK9DOEEO61c+dOXnnlFcaMGeMY3fTll18SEBAg/xgTopRyppL2PnA/9k3+aK23K6WKv1V+ZtnuSctycKBKIIxpA4AJuCf966OPuhAfn8zUPeOAYkzSMi91FuEP1HUHzzPw6y1cTjZTvZw/s/s2pWqo7EURorQ4efIko0eP5vPPP8dms2EwGFi61L6LJDBQDgMJUZo5k6QZtNZHs/xLzZrTi4tDrnvS8uiTppQiNNT32rQBdyRpRUBrzdwNRxn78x6sNk3H2uV499FGBHh7Fsn1hRDulZiYyJQpU5g8eTJJSUl4eHgwaNAgRo0a5e7QhBDFxJkkLS59yVOnz+N8Hjjg2rDykJ6kXbcnLe3axAFnFOtIKEsqHF1vvx3drtCXS7PYeGPxLuZvtA90GNi+GkPuronRIEseQpQG69ato2fPnpw6dQqA7t27M3HiRGrUyHNsshCiFHEmSXsW+5JnBHAGWJn+mNtoW0Yz20x70hwHB/I+yai1djSyLZZKWtxfYEmG8vXAv3CnSS9cTeXZr7awMTYeLw8Dkx9uQLdG4UUUqBDiZhATE0NCQgJNmzZl6tSptG3b1t0hCSHcwJkkzaK1/pfLI8kPa0Yz2xsraR5OVNKupF0h2ZKMr4cv/iZ/18SYWREtde45eYX+czdx4lIy5QO9mNmnKQ2rBBc2OiGEm+3evZv333+fDz/8EE9PT8qXL89ff/1FrVq1MBikhY4Qtypn/vT/rZRaqpTqq5QKcHlEzrDmXEnzMBlB20eErlt3jOnT/8eRIxeve3uxLnVCkSRpy3ad4uFP1nPiUjKNqgSzZFAbSdCEKOFOnz7NM888Q4MGDZg5cyazZs1yPFenTh1J0IS4xeX5E0BrXQ0YBzQBdiqlFiql3FpZy/bgQPrpTk8vI+yPh+qzmPPwj7z88nKio9+nYcNPWLr0HwDOJBbjoYHki3ByKxg8oWqrfL/dZtO8t/If/v3VFpLSrDx0WzgLBrSgXGAxjbISQhS5pKQkxo0bR/Xq1Zk5cyZKKZ577jl69uzp7tCEEDcRp5rZaq3XA+uVUm8C04GvgQUujCt3uY2FMhntjWwvpbLx4lXH8zt2nMGUvhRarPvRYv8EbYOIVmDKX2uMpDQLQ/+znaU7T6MUjLi3Fv3viJaeSEKUYD/88AMvvvgiJ06cAKBr165MnjyZmjVrujkyIcTNxplmtv5AN+wD0msDi4D8l4SKUO4tOAwQl4DWmljr9Z1CGjWqAFxb7iyWkVCHVtt/jW6fr7eduJRM/y83sefUFQK8PHj/sdvoUKsYR1gJIVzi8uXLnDhxgsaNGzN16lTat2/v7pCEEDcpZyppu4AlwGSt9R8ujsc5eVXSjieQCtxnMhFrsxHrbSBRa0JDfYBrSVoFvwquj7UA+9E2xcbzzLzNXEhMIzLUl9l9mxJT7ubYDiiEyJ+9e/eydetWevXqBUDfvn0JCQmhW7dusudMCJErZ5K0aK21zeWR5EP2lbT0iQNeRhjZEu8BDfj2WALEXYFaoaRUC3YsExZbI9tLxyD+EHgFQqXbnHrLd3/H8frCnZitmjuqh/HhY40J8pUGtUKUNGfPnuXNN99k5syZmEwm2rZtS+XKlTEajXTv3t3d4QkhSoAckzSl1FSt9RDgB6WUzvq81vohl0aWm7wqaQYFFfztX80rApB5m33GwQGXL3dmDFSPvAOMuefDFquNt5fu5fN1sQA81TqS17vUxsMo/9IWoiRJTk5m+vTpTJgwgYSEBIxGI3379sXbWw77CCHyJ7fM4dv0Xz8sjkAK4vrTnc73SSu2FhwZS53Vch91ejnJzKD5W/jjn/N4GhXjHqzHo80iXBubEKJIaa356quveP3114mLs08Duf/++5k0aRJ16tRxc3RCiJIoxyRNa70x/WZtrfV1iZpSahCwypWB5Si9B1rmKho4P3EgyZxEQloCngZPQrxCXBIiYB9d5cR+tINnE+j35SZiLyQR6mfikz5NaBZZxnVxCSFcZu7cucTFxdGoUSOmTJnCXXfd5e6QhBAlmDN70v6PG6tpT2fzWLHKXEXTWjv6pOU1YD1z+w2XtrI4uxuSzkNgOITGZPuS1fvO8sL8rSSkWqhTMZBZfZsSHuzjupiEEEVq3759GAwGatSogVKKqVOnsnXrVvr06SOHAoQQhZbbnrRHsbfdiFJK/ZjpqQDgkqsDy1E2lTSbRaNtGoNRYcxjD1extd/IXEXLkgxqrZn1x2Em/HcfWkOX+hWY0rMhvian2tYJIdzs3LlzvPnmm3z66ad07NiRZcuWAdCgQQMaNGjg5uiEEKVFblnBRuACUBn4KNPjCcBWVwbljBz3o209g953gZbj1lChciCRNUOJjA5h0KDmeHgYin8/WnT76x5OMVt57ced/LjV3sjy5Y41eP7OGAwGaVArxM0uJSWF6dOnM378eBISEjAYDFStWpW0tDRMJpO7wxNClDK57Uk7AhwBVhZfOE7IppJ27WSnAZYc4tx7m/gr/iLsOQcrDuHvb+LFF28Hri13VvB1YY80SyocXW+/Hd3e8fDZKykMmLeZbXGX8PE08u6jDelcr6Lr4hBCFAmbzcaCBQsYMWIEx44dA+Dee+9l8uTJ1KtXz83RCSFKq9yWO9dqrdsppS4CmVtwKEBrrd2yuz0jkOynDRjh2OUbJg1ERV3rkXY68TTg4uXOuI1gToJydcHf/jk7jl+i/9xNnLmSSniwD7OeaEqdSoGui0EIUWROnTrF008/TUpKCg0aNGDKlCl06tTJ3WEJIUq53JY7M/pGhBVHIE7LtpKWabh6XAKxtut770ZGBjtuF8tyZ5alzkXbTjDs+x2kWmw0jyzDx483Jszfy3WfL4QotEOHDhEZGYnRaCQ8PJxx48YREhJC3759MRrzbvUjhBCFldtyZ0amUwU4qbVOU0q1ARoAXwFXiiG+bAJL/9V4YyXN02SEzlF0ruDLhv3niY1LILZPLaJuu7a0WSzD1dOTNFtUO6Ys28fHaw4B8FjzKozpWg+Th5z6EuJmdf78ecaOHcuMGTOYPXs2ffv2BWDIkCFujkwIcatx5jjhQqCZUqoaMBf4BfgGuN+VgeXMnqUpw7V/yToODngZ4YVGBAIt0r+yypg24LIkLfkSnNyCNnjy/Hofftl/CKNBMfr+OjzRsqpr234IIQosJSWFDz74gLfffpvLly+jlOLAgQPuDksIcQtzJkmzaa3NSqmHgOla6/eVUu473ZlNJS2jka2HZ+4VKrPVzIWUCxiUgVCfUNfEF/sHaBs7DbX5ZX8CQT6efNy7Ma1jbq5VYyGEndaab7/9lhEjRhAbGwtAp06dmDJlirTTEEK4lTNJmkUp1RPoAzyY/pgbJ37fWElznO7Mq5Ftsn2pM8wnDA+Da3qSndq6jIrArym1iSnnz+wnmhIZ5ueSzxJCFN78+fPp3bs3AHXr1mXKlCl07tzZzVEJIQQ4sznq/7AfIpistT6slIoC5rs2rFw4Dg5k7pOWv2kDrmi/obVm3oZYkvfbp2WlVGnLTwNbSYImxE3o6tWrjtsPP/wwbdu2ZdasWWzbtk0SNCHETSPPcpLWepdS6gUgRilVCziotX7b9aHl7ro9aZkPDuQiYz9aUbffSLPYeHPJbtb8tYU+3qdIMfrxar9eGD3cWHAUQtwgPj6et956i6+++oo9e/ZQtmxZTCYTa9eudXdoQghxgzwraUqpO4CDwBzgM+CAUqq1qwPLU+Y9aZmWO8+eTeS3345w+PBFzObr+6W5ov3Ghaup9JnzF9/8dYy2nnsA8I5pLwmaEDeR1NRUpk2bRrVq1Zg+fToXLlxg+fLl7g5LCCFy5czGrHeBLlrrPQBKqdrAPKCpKwPLUfpyp1LZNLP9z35Wv7qSf+09BYDBoOjbtyGffdYNyJSkFdHJzr2nrtB/7iaOX0ymXIAXw6uchMPcMApKCOEeWmu+//57Xn31VQ4fPgxAx44dmTJlCg0bNnRzdEIIkTtn9qSZMhI0AK31XsD9Q+qyaWbrcfoqsUcvOx632TQBAddCLcr2G8t3n6bHjPUcv5hMw8pBLBnUipDTN46CEkK4z/PPP88jjzzC4cOHqVOnDr/88gsrVqyQBE0IUSI4k6RtUUp9qpRqk/41AzcOWNcZlbRsBqx7Xkol1nb9Emd20wYKsydNa80Hq/7hmXmbSUqz8mCjSnz7TEvKJx+GpPMQUAnCqhf4+kKIwsn4GQHQu3dvypcvzyeffML27dvp0qWL9CoUQpQYzix3/ht4ARiGfW7n78AHrgzKKZkraRkHByw2Ig1GWnp4cATNaYu1SEdCJadZGfr9dn7ZcQqlYHjnWjzTNtr+Qz9jFFS1DiB/CQhR7C5evMi4ceM4efIk8+fbD6C3bNmS2NhYvL293RydEELkX65JmlKqPlAN+ElrPbl4QspDLpU0j/fuYrifkeHHEsBqI/m+aAwGe8JktVk5n3QeKFgl7eSlZPrP3cTuk1fw9/Lg/ccacWetTMlelnmdQojikZaWxscff8zYsWO5ePEiSinGjBlDjRo1ACRBE0KUWDkmaUqp14CngS3Yx0KN1Vp/VmyR5SW7Slo5H6hVBprY+6D5ZHp5fEo8Fm0hxCsEL2P+hptvPhrPM/M2c/5qGlVDfZn9RFOqlw+49gJLKhxdZ78d1a5A344QIn+01vz4448MHz6cQ4fs83E7dOjAlClTHAmaEEKUZLlV0noDDbTWiUqpssBS7C043Cu7SlrG6c5c+qQVdKnzu01xjPxpF2lWG61jQvmoV2OCfbOcmzj+N5iToFwdCHDh4HYhBABWq5VOnTqxevVqAGrVqsU777zDfffdJ3vOhBClRm5JWqrWOhFAa31OZe55cTPIXEkz20935jYWKr/tNyxWGxP+u485fx4B4MlWkYy8rzYexmx+G2SpU4hiZTQaqV+/Prt27WLMmDH069cPT0/pTSiEKF1yS9KilVI/pt9WQLVM99FaP+TSyHKiNaBQxnxW0vIxbeBykplB87fwxz/n8TQqxnarx2PNI3J+gyNJ65DntYUQ+Xfp0iXGjx9Py5Yt6d69OwBjxoxh7NixBAUFuTk6IYRwjdyStB5Z7n/oykDyLWMs1PazWFIsQNFU0g6du0r/Lzdx+HwioX4mZjzehOZRZXJ+Q/IlOLEZDB5QtVX+vgchRK7MZjOffPIJY8aM4cKFC8TExNC1a1eMRiPBwcF5X0AIIUqwHJM0rfWq4gzEaVrbW1wYDWDT8MwKzPUqgIeBaaNX87+DF4iKCiYyMpiuXWtSvXoo4NyetDX7z/L8/K0kpFioVSGA2X2bUjnEN/d4Yv8EbYMqLcDLv8i+TSFuZVprFi1axLBhw/jnn38AaNu2LVOnTsVozH1GrxBClBbO9Em7KSmDEVbGog9dwtKoEgB/fLKZFalmx2uqVSvjSNLOJp0Fsq+kaa2Z8+cRxi/di01D57oVmPpIQ/y8nPjtkf1oQhSpuLg4Hn/8cX7//XcAatSoweTJk+natascChBC3FJKXJKmtbbvkDMa4PfjWIz2H9pGq41YbyNkStKua2Sbw0ioFLOV13/axQ9bjgPw4l3VefGu6o7+anmSJE2IIhUWFsaRI0cIDQ3lzTff5JlnnpFDAUKIW5LTSZpSyktrnerKYPJDGYxwORVL+gECT4uNo0lp170mI0nTWme73Hn2SgrPfLWZrccu4eNpZOojDelSv6LzQVw+Dhf+AVMAhDcp5HckxK3p8uXLTJs2jZdffpng4GB8fHz46aefqFatmuw7E0Lc0vJM0pRSzYE5QBAQoZRqCPTTWj/v6uCylTGXz2iAMXdgHtAQPtqJR6gPfy7tzZGLycTGXuLkyQSCg+2dxq+kXSHVmoq/pz9+nn4A7Dx+mf5zN3H6SgrhwT7MfKIJdSvl85RYRhUt6g4wlriipBBuZTabmTVrFm+88Qbnz58nJSWFSZMmAdCkifyjRwghnMks3gfuBxYCaK23K6Xc3mtCGYwQ6IU51D5XwNPfk6Ydo2mazWtPJ54GrrXfWLz9JK/8ZzupFhtNq4bwSZ8mhPnnbwoBIEudQhSA1polS5YwbNgw9u/fD0CbNm3o0SPrgXIhhLi1OZOkGbTWR7Ns2LW6KJ68Za6kAZZU5xvZlvMtzzvL9/HRavsImUebVuGtB+th8ihAn16tJUkTIp927tzJCy+8wJo1awCIiYlh0qRJdO/eXQ4FCCFEFs4kaXHpS55aKWUEngcOuDasXKTnaCq9T5pjuLoTI6EOnTLy695DGA2KUffVpm+ryIL/xXB2DySeg4BKECZzAoVwxpkzZ1izZg1lypRh9OjRPPvss5hMprzfKIQQtyBnkrRnsS95RgBngJXpj7lJlkqaE0nawQsnADh+zkSgtwcf925Cm+phhQsjcxVNKgBCZCshIYHly5fz8MMPA9CxY0dmzpzJww8/TEhIiJujE0KIm1ueSZrW+izwr2KIxTlZK2npI6E8vbJfstxw6ALzt+wEfwjzKcvXT7YhKsyv8HEcsg92lqVOIW5ksViYPXs2b7zxBmfPnmXz5s00btwYgP79+7s5OiGEKBmcOd05C0dqdI3WeoBLIsqDzlxJW3kUy9ErAMQfu8w/e84RUS0Er/QmtPP+d5Qxi3fjGX4RD2D0va2KJkGzpMHRdfbb0e0Kfz0hSgmtNUuXLuWVV15h7969ALRq1UqmBAghRAE4s9y5MtNtb6A7EOeacJyQuZL27ArMob7QqCJL1sbS++1VKAUVKwXw+Lt38e1me4PaCkEpXLZCVHB40cRw/G8wJ0HZ2hBQoWiuKUQJt23bNoYOHcqqVfaJctHR0UyaNIkePXrIoQAhhCgAZ5Y7v818Xyk1D/jVZRHlKT1LMxggxeJoZptsti97Km8P1J3hfLv5OCYPA5N61OedvZfAeq0FR6Fl7Eer5vZOJELcND788ENWrVpFSEgIo0aNYuDAgXh5FaC1jRBCCKBgY6GigKpFHYjTHJU0A6RYMae3zzBbbHiGeVO2R3U8gr0oF+DFp32aUKOiidE7EjAZTAR7FVH38sOyH02Iq1evcuLECWrWrAnA2LFjCQkJYcSIEZQpU8bN0QkhRMmXZ4MwpdRFpVR8+tcl7FW015y5uFKqs1Jqv1LqoFLq1Vxe97BSSiulsutFm0XG9jgF90ZhibRPCShbzoeKT9TBM9gL3xQriwe14baIkOvGQRXJkkvKZTixGQweULVV4a8nRAljtVqZNWsWMTEx9OjRA4vFAkClSpV45513JEETQogikmuSpuxZTUOgbPpXiNY6Wmv9XV4XTu+p9hFwL1AHeEwpVSeb1wUALwB/ORVxRiXN5AFz78N8dyQAl2oGozwNPNCgIitH3EmFIPtIqLNJZ4EbB6sXWOyfoG1QuRl4BRTNNYUoIZYtW0ajRo0YMGAAZ86cwd/fn3Pnzrk7LCGEKJVyTdK01hr4SWttTf+64ZRnLpoDB7XWh7XWacACoFs2r3sLmAykOHfZjD1pRsxWG+sPnAfAomB451q8/9htVCrv73j1mcSMaQNFvB8tun3RXE+IEmDHjh3cc8893HvvvezatYvIyEgWLFjAhg0bqFixorvDE0KIUsmZeUgblVKNC3DtcK4/BXo8/TEHpdRtQBWt9c9OXzXTWKhf95zhTHwyAE+3j+bZ9tVuWNLMvNxZJBxJmhwaELeGtLQ0OnfuzIoVKwgKCmLKlCns27ePRx99VE5tCiGEC+V4cEAp5aG1tgBtgP5KqUNAIqCwF9nyStyy++ntqMQppQzAu8CTeQWplBoADACoHhoKvn4og5GzV1LwTL9i4+jQbN9bpMudl0/A+QNgCoDwguStQpQMV69exWg04uPjg8lk4q233mLHjh2MHj2a0NDs/6wJIYQoWrmd7twINAYeLOC1jwNVMt2vDJzMdD8AqAesSf/XeAVgsVKqq9Z6U+YLaa1nAjMBGlWpYk/LjAZSLDY80pM0D1P2RcGM5c4iSdIyqmiRbcDoWfjrCXGTsVqtfPHFF4waNYpnn32WUaNGAfD000+7OTIhhLj15LbcqQC01oey+3Li2n8D1ZVSUUopE/bRUoszntRaX9Zah2mtI7XWkcD/gBsStByDMxhJTrPimV6w8/TKvqO5Y7mzKJO06PaFv5YQN5kVK1Zw22230a9fP06dOsXq1avJ3zZUIYQQRSm3SlpZpdTgnJ7UWk/L7cJaa4tSahCwHDACn2mtdyulxgKbtNaLc3t/Lte13zhxlZTtB/BU9lOc45/5mUp3VqVx44p07BjteH2R7UnTWprYilJp165dvPKsa1VCAAAgAElEQVTKKyxbtgyAqlWrMmHCBNlzJoQQbpZbkmYE/Ml+b5lTtNZLgaVZHhudw2vb5+faKsFC6vEreFW2J2lz1x3j4vJ/eOih2o4kLc2aRnxKPEZlJNS7kPtozu6FxLMQUBHCahTuWkLcJLZt20aTJk2w2WwEBgby+uuv88ILL+Dt7e3u0IQQ4paXW5J2Sms9ttgicVZGJc0KyR4G/NNzyLT0sVCR6c1t4dqhgTCfMIyGQg54zjxlQKoLogSzWCx4eNj/6Dds2JAOHTpQu3ZtRo8eTdmyZd0cnRBCiAx57km7WSmLJsWoHKc70yw2AKKiQhyvKdL2G7IfTZRwGYcCYmJi2Lt3LwBKKZYvX84HH3wgCZoQQtxkckvS7iq2KPIjo5JWtyzJt1fAA4VGM/G55gwa1Izmza+1Yiuy9huWNIhdZ78d1a5w1xLCDVatWkWTJk146qmnOHr0KLNmzXI8ZzQWssoshBDCJXJc7tRaxxdnIPmlwvwwJ3gDiRg9jQx+78acssjab5zYBOZEKFsbAqW7uig59uzZw7Bhw/jll18AqFKlCuPHj6dXr15ujkwIIURectuTdnPKqKQZDJhT7fvQDDn1SCuq9huy1ClKoM8++4wBAwZgtVoJCAhgxIgRvPTSS/j4+Lg7NCGEEE4oeUlaOmU0YklP0jw880jSCrsn7VCmQwNClBAdOnTAy8uLvn378uabb1KuXBHNrxVCCFEsSl6Spq8NWLekpSdpJhc2sk25DCc2gzJCZOuCX0cIF7LZbHz11VcsXLiQ77//HoPBQFRUFMeOHZMxTiWU2Wzm+PHjpKSkuDsUIYQTvL29qVy5Mp6eRTeRqOQlaemU0YDVbD/R6eGV+0iocr6FqCDErgNthSotwCug4NcRwkXWrFnDkCFD2LJlCwA///wzXbt2BZAErQQ7fvw4AQEBREZGSlNhIW5yWmsuXLjA8ePHiYqKKrLr5na68+aUUUlLMGNOsgBgNN74bVhtVs4nnwcKmaTJlAFxk9q3bx9du3alQ4cObNmyhfDwcL744gvuv/9+d4cmikBKSgqhoaGSoAlRAiilCA0NLfLKd4lL0jImCarPd5OWZAZgze9HqRg6mf/8Z7fjdRdSLmDVVsp4l8FkNBX8Aw/LfjRx83n99depV68eS5Yswc/Pj7feeosDBw7Qt29fDIYS98da5EASNCFKDlf8eS15P80zKmlpGmP6b0iq2crp+GR8fa+tAxdJ+43LJ+D8ATD5Q3iTgl9HiCJWpkwZtNYMGDCAgwcPMnLkSHx9fd0dlrgFLV68mIkTJ7o7DLdbs2YNQUFB3HbbbdSqVYuhQ4de9/zChQtp0KABtWrVon79+ixcuPC656dMmUKtWrWoV68eDRs2ZO7cucUZvlOmT59+U8aVITU1lUcffZSYmBhuv/12YmNjs33de++9R7169ahbty7Tp0+/7rkPPviAmjVrUrduXYYNGwbAzp07efLJJ10cffZK7J40m9mGZ3rFIC0tYyRUsOP5Ijk0cGSt/dfINmAsuo2AQuSHzWZj/vz5pKWl8dRTTwEwaNAgOnfuTN26dd0cnbjVde3a1bEHMi9aa7TWbqv2Wq1WlzZvvuOOO/j5559JTk7mtttuo3v37rRu3Zrt27czdOhQfv31V6Kiojhy5AidOnUiOjqaBg0a8Mknn/Drr7+yceNGAgMDuXz58g1JXGEV9nu3WCx89tlnjr2vzr4nYwRdcZgzZw4hISEcPHiQBQsWMHz4cL799tvrXrNr1y5mzZrFxo0bMZlMdO7cmfvuu4/q1auzevVqFi1axI4dO/Dy8uLsWXtD/Pr163P8+HGOHTtGREREsX0/UIIraWZ/r0wjoexJWtWq2SRphWm/4eiPJvvRhHv8/vvv3H777Tz++OMMHjyY+Hh7j2kvLy9J0G41ZT+8/isnc3dd/7rBvxXo42JjY6lVqxb9+vWjXr169O7dm5UrV9K6dWuqV6/Oxo0bAfjiiy8YNGgQAGfOnKF79+40bNiQhg0bsn79emJjY6lduzYDBw6kcePGxMXFMX/+fOrXr0+9evUYPnx4jp9/xx130LhxYxo3bsz69esBePTRR1m6dKnjdU8++SQ//PADVquVV155hWbNmtGgQQM+/fRTwF7h6tChA7169aJ+/foAPPjggzRp0oS6desyc+ZMx7XmzJlDjRo1aN++Pf3793d8X+fOnaNHjx40a9aMZs2asW7dulx/73x8fGjUqBEnTpwA7FWy1157zbGhPCoqihEjRvDOO+8AMH78eD7++GMCAwMBCAoKom/fvjdc9+DBg3Ts2JGGDRvSuHFjDh06xJo1a67bhzpo0CC++OILACIjIxk7dixt2rRh8uTJNG/e/Lrf3wYNGgCwefNm2rVrR5MmTbjnnns4derUDZ/922+/0bhxY0fSNWvWLJo1a0bDhg3p0aMHSUlJjv8egwcPpkOHDgwfPpzExET+7//+j2bNmnHbbbexaNGiXP/7FsaiRYscv28PP/wwq1atQmesvqXbu3cvLVq0wNfXFw8PD9q1a8dPP/0EwIwZM3j11Vfx8vICuK5t0QMPPMCCBQsKHWN+lbwkLZ15SDM80seLvjS4BUcOv4C//7W9Z4WupGktTWyF2xw4cIDu3bvTrl07Nm3aRKVKlZg2bRpBQUHuDk3cQg4ePMiLL77Ijh072LdvH9988//snX1czff//++nCyrRXGUscxVdnc45VlGuIsTIRYw0mzEXMxf5sUxWbB9hWDNaxhhzleUzFr7b+GyRUUJFElHmOiSkC0p1Or8/jvPWqVNykcT7frudW73Peb1f7+f7/T51nuf5fL6ejy1ERUURFBTEwoULy4z38fHB1dWVEydOcOzYMeGLxNmzZxk1ahTHjx/H0NCQWbNmsW/fPhISEoiNjdUZNTI3N+fvv//m2LFjbN26FR8fHwBGjBghREcKCgrYu3cv/fr1Y+3atZiZmREbG0tsbCxr1qzhwoULABw9epQFCxZw+vRpQN3oOT4+nri4OIKDg7l9+zbXrl0jMDCQw4cP8/fff3PmzBnBlmnTpjF9+nRiY2PZvn0748aNq/C6ZWZmkpqaSrdu3QA4deoUDg7aJTOOjo6cOnWKnJwccnJyaNOmzWPvx8iRI5k8eTInTpzg0KFDNG36eAUcIyMjoqKimD17NgUFBZw/fx6ArVu3Mnz4cAoLC5k6dSrbtm0jPj6ejz/+GH9//zLzREdHa53DkCFDiI2N5cSJE9jY2LB27VrhtZSUFCIiIvj2229ZsGABbm5uxMbGEhkZycyZM7l3716597c0Xbt2RaFQlHlERESUGZuWlkbz5s0BMDAwwMzMjNu3b2uNkUqlHDhwgNu3b3P//n3+/PNPrly5Ith98OBBOnbsiKurK7GxscJ+jo6OHDx48LHX+3lT89KdmuhZ8SNx9drGBrQsIawOz6H9xs1kyE0H0zehsdXTWisi8kTk5eUxa9YsVq5cSVFREXXq1OHzzz/ns88+o06dOtVtnshrRqtWrYTok52dHT179kQikWBvb6+z3mffvn1CzZK+vj5mZmZkZmbSokULnJ2dAYiNjaV79+40btwYUDseBw4cYPDgwVpzFRYWMmXKFBISEtDX1yclJQWAd999Fx8fHx48eMCePXvo1q0bxsbG/PXXXyQmJrJt2zYAsrKySE1NpVatWnTo0EGrLUJwcLAQPbly5QqpqancuHEDV1dXGjRoAMCwYcOEY0ZERAgOHkB2djY5OTnUravdlungwYPIZDLOnj2Ln58fb775JqBO85YuKtc8p+s1XeTk5JCWloanpyegdr4qg5eXl/D78OHD+e9//4ufnx9bt25l69atnD17lqSkJHr37g2o06K6nL/r169jY2MjbCclJREQEMDdu3fJzc2lT58+wmvDhg0TUqt//fUXu3btIigoCFCvWr58+TLNmjXTeX9L8ySOUemoGZQt5rexsWHWrFn07t0bU1NT5HK5EB0sKioiMzOTw4cPExsby/Dhwzl//jwSiQRzc3OuXbtWaVueFzXPSXvopRWoJBiq1BdfVzPbZ053loyiiSusRF4QtWvXJiYmhuLiYsaNG8e8efMq9W1ZRKQq0KR9APT09IRtPT09ioqKKj1PyS8Yuj5IAcLDw/nPf/4DwE8//cTvv/9OkyZNOHHiBMXFxYJTYmRkRPfu3fnf//7H1q1b8fb2Fub9/vvvtZwFUKc7Sx5///79REREEBMTg4mJCd27dyc/P79cu0BdFxoTE/NYSTVNTVpKSgpdunTB09MThUKBnZ0dcXFxQnoR4NixY9ja2lKvXj3q1KnD+fPnad26dblzl2efgYEBxcXFwnbpFhAlz93Ly4thw4YxZMgQJBIJbdu25eTJk9jZ2RETE1PhuRkbG2vNPXr0aHbs2IFcLmf9+vXs379f5zFVKhXbt2/Hyko72PHVV1/pvL+l6dq1Kzk5OWWeDwoKolevXlrPWVhYcOXKFSwsLCgqKiIrK0twuksyduxYxo4dC8AXX3yBhYWFsL/m2nTo0AE9PT1u3bpF48aNyc/PrxZJvZqX7ny0uBNNKb9h7bJO2s376oK/p053iqlOkReASqUiLCxMSMvo6emxevVqEhISWLNmjeigiTwiY4r2ozxGSbXHLXV7YSb27NmTlStXAuqITHZ2dpkxHTt25J9//uHWrVsolUp++eUXXF1d8fT0JCEhgYSEBBwdHcnKyqJp06bo6emxadMmlEqlMMeIESP4+eefOXjwoOCU9enTh5UrV1JYqG7NlJKSwr1798ocPysri/r162NiYsKZM2c4fPgwAB06dOCff/4hMzOToqIitm/fLuzj7u5OSMijOsCEhIQKr0O7du2YPXs2ixcvBsDX15evv/5aiD5evHiRhQsX8tlnnwEwe/ZsJk+eLFyv7OxsrVo5gHr16mFhYSGkhh88eMD9+/dp0aIFp0+f5sGDB2RlZbF3795y7WrTpg36+voEBgYKETYrKysyMjIEJ62wsJBTp06V2dfGxoZz584J2zk5OTRt2pTCwkJCQ0PLPWafPn34/vvvBSfz+PHjABXe35IcPHhQeF+UfJR20EC9iGXDhg0AbNu2DTc3N51RSs2CgMuXL/Pbb78Jjv7gwYPZt09dw5mSkkJBQQGNGjUStqVSabnnWVXUPCdNE0krRkh3lo6kqVSqZ2vBoSyEi1Hq31t3f0o7RUQqJioqCmdnZ7y9vZk9e7bwfPv27YUUk4hITWL58uVERkZib2+Pg4ODzg/7pk2b8vXXX9OjRw+hAH7QoEFlxk2aNIkNGzbg7OxMSkqKVnTG3d2dAwcO0KtXL2rVUtcijxs3DltbW9555x2kUimffPKJzmhf3759KSoqQiaTMWfOHCEN+9Zbb/HFF1/QsWNHevXqha2trVADGhwcLETCbG1tWbVq1WOvxcSJEzlw4AAXLlxAoVCwePFiBgwYgLW1NQMGDGDJkiUoFAoAPv30U3r06IGTkxNSqRRXV1edLXU2bdpEcHAwMpmMTp06cePGDZo3b87w4cORyWSMHDmS9u3bV2iXl5cXmzdvZvjw4QDUqlWLbdu2MWvWLORyOQqFQmcR/7vvvsuBAweE7cDAQDp27Ejv3r2xtrYu93hz5syhsLAQmUyGVCplzpw5QMX392kZO3Yst2/fxtLSkqVLlwqtYa5du0a/fv2EcUOHDsXW1pYBAwawYsUK6tdXl0t9/PHHnD9/HqlUyogRI9iwYYPg5EVGRtK/f/9ntvFJkVQU4n0ZkTVoqNpqbk7WohWERShpW6TPu5/Y07p9Y2FMZn4m3bZ2o65hXQ69/xQrRi7FwM99obE1TD7yHK0XEYHU1FT8/Pz47bffAHjzzTcJDAx8bDGyyOtFcnKyVg2QSNWTm5uLqakpRUVFeHp68vHHHws1YCLg6enJkiVLaNu2bXWb8kJ58OABrq6uREVFPbaliK6/W4lEEq9SqRyf5tg1LpKmehhJ2/fTcSHduWdFLFeuZAljhFTnU9ejiSoDIs+f27dv8//+3//D1taW3377DWNjY+bOnUtqaqrooImIvAR89dVXKBQKpFIprVq1KrOY4XVn0aJFOttzvOpcvnyZRYsWvdCebxpq3sKBh4G/ExeyaNNC/fu3v5+l3QhrmjdXh6afuf2GWI8mUgXcvHmTkJAQiouLGTNmDIGBgbz11lvVbZaIiMhDNCsQRXRjZWVVZgHA60Dbtm2rLXpY85y0h15ajp6esLrzQZGSRo0e5e9v3LsBPGX7jfxsuBoHEn1o0fnZzRV5bVGpVOzdu1doW2BjY8Py5cvp3LmzUIsiIiIiIiJSHjUu3alRHMjV1xPSnQWFSho2fLQ09pnab1yKBpUSLJzAqN6zWivymhITE0Pnzp3p3bs3u3btEp6fPHmy6KCJiIiIiFSKmuekPaSrtIkQSRvavplWJO2Z2m/8K9ajiTw958+fZ/jw4XTq1ImYmBjMzc0pKCiobrNERERERGogNc9JexhJa9PXUmjBsezPERgbPxJAfya1AbEeTeQpuHPnDp999hnW1tb8+uuvGBkZ4e/vz7lz5xg2bFh1myciIiIiUgOpeU7aQ/KKHjWzNSjVzPapFw5kX4NbZ6GWKVg81WpZkdeUVatWsXTpUoqKihg1ahSpqanMnz+/jGyMiIjI64G+vr6wUnTAgAHcvXtXeO3UqVO4ubnRrl072rZtS2BgoJaiwO7du3F0dMTGxgZra2t8fX2r4xQq5Pjx4y/9qvSvv/4aS0tLrKys+N///qdzjEY4XiqV8tFHHwm99Xbu3IlMJkOhUODo6EhUlLp3akZGBn379n1h51DznLSHb+R8JeghAT3Q19c+DU268806bz7Z3Of/Uf9s2QX0DSseK/Jao1KpuHTpkrA9bdo0vLy8iIuLY8OGDYLMiIiISPmU12X+VTi+sbExCQkJJCUl0aBBA1asWAGo9XkHDhyIn58fKSkpglj6Dz/8AKg1MadMmcLmzZtJTk4mKSmpQrmop+FJJL3KY+HChUydOvWFHvNJOH36NGFhYZw6dYo9e/YwadKkMve7uLiYjz76iLCwMJKSkmjRooWgWNCzZ09OnDhBQkIC69atExzSxo0b07RpU6Kjo1/IedQ8J+0hBZr7baB9CrkFueQW5mKkb0S9Wk9Y+C+mOkUqwZEjR+jatSsdOnQQZFzq1KlDWFgY77zzTjVbJ/KqIpH8R+tRHqtXx2uNmzDh/57qeBcvXsTa2ppx48YhlUoZOXIkERERdO7cmbZt23L06FEAjh49SqdOnWjfvj2dOnXi7NmzgNoB8vX1xd7eHplMxvfffw9Ay5YtmTdvHl26dOHXX38lISEBZ2dnZDIZnp6eZGZm6rRn8ODBODg4YGdnJ0gmrVy5ks8//1wYs379esFx2Lx5Mx06dEChUPDJJ58IH9CmpqbMnTuXjh07EhMTw7x584RO/xMmTBAiWrGxschkMlxcXJg5c6YgCaRUKpk5cyZOTk7IZDJ+/PHHx15LFxcX0tLSANiyZQudO3fG3d0dABMTE0JCQoTu+EuWLMHf31/o4m9gYMCkSZPKzJmbm8uYMWOE66uRsTI1NRXGbNu2jdGjRwNqrc0ZM2bQo0cPZs6cScuWLbWie5aWlqSnp5ORkcHQoUNxcnLCyclJpzOSk5NDYmIicrkcKP89sH79eoYNG8aAAQOE8/3mm2+Ea/fll18Kc+q6v8/Czp07GTFiBLVr16ZVq1ZYWloK71kNt2/fpnbt2rRr1w6A3r17a11HjdrAvXv3tOSlBg8eXKEU1vOk5jlpmkhagfqnnqHuKJq5iblOza4K5xWdNJEKuHDhAt7e3jg7OxMdHY1KpSI5Obm6zRIRqTLOnTvHtGnTSExM5MyZM2zZsoWoqCiCgoJYuHAhANbW1hw4cIDjx48zb948vvjiCwBWr17NhQsXOH78OImJiYwcOVKY18jIiKioKEaMGMGoUaNYvHgxiYmJ2NvbCyLrpVm3bh3x8fHExcURHBzM7du3ee+99wTlDoCtW7fi5eVFcnIyW7duJTo6moSEBPT19YUP1Xv37iGVSjly5AhdunRhypQpxMbGkpSURF5eHr///jsAY8aMYdWqVcTExKCv/6ikZu3atZiZmREbG0tsbCxr1qwRtHd1oVQq2bt3LwMHDgTUqU4HBwetMW3atCE3N5fs7GySkpLKvK6LwMBAzMzMOHnyJImJibi5PV6jNSUlhYiICL777jsGDRpEeHg4oP7i2bJlS5o0acK0adOYPn06sbGxbN++XWdKMy4uTkvHsrz3AKhXum/YsIF9+/bx119/kZqaytGjR0lISCA+Pl6QmtJ1f0szffp0FApFmYfGwS1JWloazZs3F7YtLCwER1lDo0aNKCwsJC4uDlA7tVeuXBFeDw8Px9ramv79+7Nu3TrheUdHRw4ePFjxxX5O1MA+aWoKCnU7aU/dfiPjDOTeANMmajkoEZGH3L17lwULFhAcHExBQQFGRkZMnz4dPz8/6tUT27SIvLq0atVK0JG1s7MTev7Z29sLYuFZWVl89NFHpKamIpFIBIHziIgIJk6cKHRpb9CggTCvRtw7KyuLu3fv4urqCsBHH31U7kKb4OBgwam4cuUKqampODs707p1aw4fPkzbtm05e/YsnTt3ZsWKFcTHx+Pk5ASoU4zm5uqFZPr6+gwdOlSYNzIykiVLlnD//n3u3LmDnZ0dXbt2JScnh06dOgHw/vvvC87bX3/9RWJiItu2bRPOITU1lVatWmnZm5eXh0Kh4OLFizg4ONC7d29AXSpRXgDhSQILERERhIWFCdsa/cmKGDZsmOBwenl5MW/ePMaMGUNYWJhwTyIiIjh9+rSwT3Z2Njk5OVr1tdevX6dx40dSjOW9B0AdndLc+7/++ou//vpL0BfNzc0lNTWVbt266by/DRs21LL/u+++q9zFAXRJXpa+vhKJhLCwMKZPn86DBw9wd3fXUhXw9PTE09OTAwcOMGfOHCIiIgAwNzfn2rVrlbblWahxTprmwkdHp+HV+G2uXc3ix7H/xydrBwDPsGigZBTtSSJwIq88gwYNEr7tffDBByxYsIC33367mq0SEal6ateuLfyup6cnbOvp6Qk1RnPmzKFHjx6Eh4dz8eJFunfvDlTsjDxOTPvKlSsMGKD+nz5x4kSsra2JiIggJiYGExMTunfvTn5+PqB2Nv773/9ibW2Np6cnEokElUrFRx99xNdff11mbiMjI8FRyc/PZ9KkScTFxdG8eXO++uor8vPzdX7Aa1CpVHz//ff06dOnwnPQ1KRlZWXh4eHBihUr8PHxwc7OTkuoHNSte0xNTalbty52dnbEx8cLqcSK7NB1fUs+p7lGGkpedxcXF86dO0dGRgY7duwgICAAUNdpxcTEYGxsTHkYGxtrzV3ee6D0MVUqFbNnz+aTTz7Rmm///v3l3t+STJ8+ncjIyDLPjxgxAj8/P63nLCwstKJiV69epVmzZmX2dXFxEaJif/31FykpKWXGdOvWjX///Zdbt27RqFEj8vPzK7w+z5Oal+58iL6h2r+8V6gkP/eR1/7U7TcEJ63H8zBPpAajUqm0/kH4+fnh6upKXFwcmzZtEh00kWpBpfpS61EeEyY4aI1bvXpAldqVlZUlyJutX79eeN7d3Z1Vq1YJztydO3fK7GtmZkb9+vWFD8lNmzbh6upK8+bNSUhIICEhgYkTJ5KVlUX9+vUxMTHhzJkzHD58WJhjyJAh7Nixg19++UWIBvXs2ZNt27Zx8+ZN4dglF/po0PydN2rUiNzcXCE6Vr9+ferWrSscp2TEqk+fPqxcuVKIFqWkpHDv3r1yr4+ZmRnBwcEEBQVRWFjIyJEjiYqKEqIyeXl5+Pj4CLV1M2fOZOHChYKzUFxczNKlS8vM6+7uTkhIiLCtqeVr0qQJycnJFBcXC5EpXUgkEjw9PZkxYwY2NjZC1Kr0vAkJCWX2tbGx4dy5c8J2ee+B0vTp04d169aRm5sLqFOSN2/erPD+luS7774T3hclH6UdNICBAwcSFhbGgwcPuHDhAqmpqXTo0KHMOM175MGDByxevJiJEycC6lS/xlk/duwYBQUFwjVKSUnRSvdWJTXPSXt40QwM1d+ECgqLaVjfSHj5qSJpykK4qF5eS2vX52OnSI0kLi6O7t27M3nyZOG5vn37EhkZWak6ERGR143PP/+c2bNn07lzZ63Vc+PGjePtt99GJpMhl8vZsmWLzv03bNjAzJkzkclkJCQkMHfu3DJj+vbtS1FRETKZjDlz5uDs7Cy8Vr9+fWxtbbl06ZLwIWxra8v8+fNxd3dHJpPRu3dvncLgb7zxBuPHj8fe3p7BgwcL6VFQ155NmDABFxcXVCoVZmZmwnnZ2toKbRs++eSTx65cbN++PXK5nLCwMIyNjdm5cyfz58/HysoKe3t7nJycmDJlCgAymYxly5bh7e2NjY0NUqlUp+0BAQFkZmYilUqRy+VChGnRokV4eHjg5uZG06ZNK7TLy8uLzZs3C84tqNPKcXFxyGQybG1tWbVqVZn9rK2tycrKIicnByj/PVAad3d33n//fVxcXLC3t+e9994jJyenwvv7tNjZ2TF8+HBsbW3p27cvK1asECKo/fr1E9KV33zzDTY2NshkMgYMGCDU9m3fvh2pVIpCoWDy5Mls3bpViFJGRkbSv3//Z7axMkgqCuu+jEjr1FH92vxtZjjPw8OoIYnXMhls34B3F6gjYFP2TuGfq/+wrMcyer7ds3KTXoqBn/tCIyuYcvTx40VeOS5duoS/v79QXGxubk5qaqpYcyZSbSQnJ2NjY1PdZry25ObmCislFy1axPXr11m+fHk1W/Xy8N1331G3bt2XvldaVdCtWzd27typsw5Q19+tRCKJV6lUT9V8tcZG0po1VRcxdnZoSpdPH0U4NJG0N02eoEeauKrztSUrKz5F3FYAACAASURBVAs/Pz+srKwIDQ2ldu3afP7556SkpIgOmojIa8wff/whNKM9ePCgULMloubTTz/Vqll8XcjIyGDGjBmVWqjxPKhxCwc0qIrVYceGzetR1+LRh+lT1aSJTtpryd27d7GyshJqEry9vVm4cCEtW7asXsNERESqHS8vL600oIg2RkZGfPjhh9VtxguncePGDB48+IUdr+Y5aQ8jacUP0961jR6dwgPlAzIfZGIgMaCBUQNde5clPxuuxoJEX600IPJKU3JF1BtvvIG7uzuXLl0iKChIZ1GpiIiIiIhIdVHz0p0PKVaqnTUj40dOmqaRbWOTxujr6evcrwyXokGlVGt1GonprVeZ+Ph43NzchFVVAD/++CP//POP6KCJiIiIiLx01MBI2sOfSnU0xKhEJE1MdYro4sqVK3zxxRds3rwZUC8979WrF6CWZBEREREREXkZqZmRNIkEQ9ROWi2jRxGzp2q/ITppryzZ2dn4+/vTrl07Nm/eTK1atfD19RW02URERERERF5mal4kDShGguHD39Pjb0DXt8BAT0h3VloSKvu6Wg6qlilYOD1+vEiNISYmhsGDBwuLAry8vFi4cCGtW7euZstEREREREQqR42MpBUWg+HDtOf2n45BvrqR4BNH0i78o/7ZojPoG1Y8VqRGYWNjg1KppFOnTsTExBAWFiY6aCIiT4i+vr7QhmLAgAHcvXtXeO3UqVO4ubnRrl072rZtS2BgoJac0u7du3F0dMTGxgZra2t8fX2r4xSeCm9vb2QyWaW1IjX91J43KpUKHx8fLC0tkclkHDt2TOe4vLw8XF1dK2wkW93s2bMHKysrLC0tdQqiA1y+fJkePXrQvn17ZDIZf/75JwChoaFagup6enqCEkKvXr0EtYVXkRrppBWjh6FKne40KVLBw8UDmpq0Sjtp/z7UAGvd/TlbKPKiSUhIYOTIkeTl5QHqlZtHjx4lKirquXSvFhF5HdHoTyYlJdGgQQNWrFgBqJ2CgQMH4ufnR0pKCidOnODQoUP88MMPACQlJTFlyhQ2b95McnIySUlJz/1L0uO6/D8tN27c4NChQyQmJjJ9+vQqOUZl2b17N6mpqaSmprJ69Wo+/fRTnePWrVvHkCFDhI76j0OlUlFcXPw8Ta0QpVLJ5MmT2b17N6dPn+aXX37REnHXMH/+fIYPH87x48cJCwtj0qRJAIwcOVKQgNq0aRMtW7ZEoVAA8OGHHwrvu1eRGpnuVJZIdxqqVKCv9jWfKN2pUon1aK8AV69eJSAggI0bN6JSqZDL5YIGnhg5E3lVaOn3R5XMe3FR5aVtXFxcSExMBGDLli107twZd3d3QL0AJyQkRJBUW7JkCf7+/lhbWwNgYGAgfOCWJDc3l6lTpxIXF4dEIuHLL79k6NChmJqaCvqO27Zt4/fff2f9+vWMHj2aBg0acPz4cRQKBeHh4SQkJPDGG28AYGlpSXR0NHp6ekycOJHLly8DsGzZMjp37qx17Pz8fD799FPi4uIwMDBg6dKl9OjRA3d3d27evIlCoeD777+na9euwj7p6elMnDiR8+fPA7By5Uo6deqkdT6DBg0iMzOTwsJC5s+fz6BBg7h37x7Dhw/n6tWrKJVK5syZg5eXF35+fuzatQsDAwPc3d0JCgrSsnHnzp2MGjUKiUSCs7Mzd+/e5fr162XknkJDQwXZrfJsuHjxIu+++y49evQgJiaGHTt2cPbsWb788ksePHhAmzZt+PnnnzE1NWXevHn83//9H3l5eXTq1Ikff/xRp5h7ZTl69CiWlpbC/+QRI0awc+dObG1ttcZJJBKys7MBdaNxXYLov/zyC97e3sL2wIED6dq1K/7+/k9t38tMjXTS9PUeRdLalmhke+P+DaCSkbSMs5B7A0ybgLkovVLTyMnJYcmSJXz77bfk5eVhaGjIlClTXkuJEhGRqkapVLJ3717Gjh0LqFOdpbVs27RpQ25uLtnZ2SQlJfHZZ589dt7AwEDMzMw4efIkQKXSVikpKURERKCvry+IiI8ZM4YjR47QsmVLmjRpwvvvv8/06dPp0qULly9fpk+fPiQnJ2vNo4kKnjx5kjNnzuDu7k5KSgq7du3Cw8NDp7C4j48Prq6uhIeHo1QqBUdSg5GREeHh4dSrV49bt27h7OzMwIED2bNnD82aNeOPP9TOdlZWFnfu3CE8PJwzZ84gkUi0Uska0tLSaN68ubBtYWFBWlqalpNWUFDA+fPnhSbc5dkAcPbsWX7++Wd++OEHbt26xfz584mIiKBOnTosXryYpUuXMnfuXKZMmSJoqH744Yf8/vvvDBgwQMu20NBQvvnmmzI2W1paCkL1FZ3HkSNHyuz71Vdf4e7uzvfff8+9e/e02iVp2Lp1Kzt37hS269evz4MHD7h9+7YggP4qUSOdtNp1jYSaNM8tgwAoKi7iVt4tABobN378JCWjaM/wDUHkxfPrr78ydepU0tPV6e333nuPRYsW0aZNm2q2TESkaniSiNfzJC8vD4VCwcWLF3FwcKB3796AdlPo0jxJxCUiIoKwsDBhuzJSO8OGDRPSel5eXsybN48xY8YQFhYmKARERERopdOys7PJycmhbt26wnNRUVFMnToVUAuGt2jR4rFycPv27WPjxo2Aul5PI7quQaVS8cUXX3DgwAH09PRIS0sjPT0de3t7fH19mTVrFh4eHnTt2pWioiKMjIwYN24c/fv3x8PDo8zxdGlrl76+t27dEiKJFdkA0KJFC6H84/Dhw5w+fVqIMBYUFODi4gKoBcSXLFnC/fv3uXPnDnZ2dmWctJEjRzJy5Mhyr9WTngeoo2SjR4/ms88+IyYmhg8//JCkpCT09NTZsiNHjmBiYoJUKtXaz9zcnGvXrr2STlqNrElTSfQEJ82glvqP9VbeLYpVxTQ0aohhZRYBiKnOGk16ejrOzs5ER0fz66+/ig6aiEgVoKlJu3TpEgUFBUL0yc7Ojri4OK2x58+fx9TUlLp162JnZ0d8fPxj5y/P2Sv5XH5+vtZrderUEX53cXHh3LlzZGRksGPHDoYMGQJAcXExMTExQh1TWlqaloOmOfbzJjQ0lIyMDOLj40lISKBJkybk5+fTrl074uPjsbe3Z/bs2cybNw8DAwOOHj3K0KFD2bFjB3379i0zn4WFBVeuXBG2r169WiYFaGxsrHWNyrMBtK+dSqWid+/ewjU6ffo0a9euJT8/n0mTJrFt2zZOnjzJ+PHjy9wDzXFKFvNrHu+9995TnQfA2rVrGT58OKC+t/n5+dy6dUt4PSwsTCvVqSE/Px9jY+Myz78K1EwnTU8Pg4d90gxrq520J6pHUxbCxSj1761cq8RGkedHYmIiq1evFrbfe+89du/ezaFDh7TqQURERKoGMzMzgoODCQoKorCwkJEjRxIVFSWko/Ly8vDx8RHqQWfOnMnChQtJSUkB1E7T0qVLy8zr7u5OSEiIsK1JdzZp0oTk5GQhnVkeEokET09PZsyYgY2NjRBJKT2vrtRlt27dCA0NBdQp1MuXL2NlZVXhdejZsycrV64E1ClgTf2UhqysLMzNzTE0NCQyMpJLly4BcO3aNUxMTPjggw/w9fXl2LFj5ObmkpWVRb9+/Vi2bJlOGwcOHCjU2x4+fBgzM7My9Wj169dHqVQKjlR5NpRG8yX33LlzANy/f5+UlBRhnkaNGpGbm1smdamhZDF/yYeu8U5OTqSmpnLhwgUKCgoICwsTUrAlefvtt9m7dy8AycnJ5Ofn07ixOjNWXFzMr7/+yogRI7T2UalU3Lhx45XVXK6ZTppWJE19Ck/UfiMtHgpyoFE7MHurqswUeUauXbvG2LFjUSgUTJ48mdTUVED9j7lv377PVMgqIiLyZLRv3x65XE5YWBjGxsbs3LmT+fPnY2Vlhb29PU5OTkyZMgUAmUzGsmXL8Pb2xsbGBqlUyvXr18vMGRAQQGZmJlKpFLlcTmSkesX9okWL8PDwwM3NrYxTUhovLy82b96sJYYeHBxMXFwcMpkMW1tbVq1aVWa/SZMmoVQqsbe3x8vLi/Xr11O7du0Kj7V8+XIiIyOxt7fHwcGBU6dOab0+cuRI4uLicHR0JDQ0VFg4cfLkSTp06IBCoWDBggUEBASQk5ODh4cHMpkMV1dXne0++vXrR+vWrbG0tGT8+PHlrmJ0d3cnKiqqQhtK07hxY9avXy+0G3F2dubMmTO88cYbjB8/Hnt7ewYPHoyT07P3EDUwMCAkJIQ+ffpgY2PD8OHDsbOzA2Du3Lns2rULgG+//ZY1a9Ygl8vx9vZm/fr1wv/5AwcOYGFhUWZBWHx8PM7OzhgY1MjqrcciqYqQb1UiNTJWbXLsyCGpuqhx0g89kOhJ2Hx6M4tjF+Nl5UWAc0DFk+xfBPu/hg4ToF/ZwkeR6iU3N5egoCC++eYb7t+/L6wMmzt37itZcyAioovk5GRsbMRFTSKP5/jx4yxdupRNmzZVtykvnGnTpjFw4EB69uxZ3aYAuv9uJRJJvEqlcnya+Wqk66nUqwWASg8kemovW5PufLPOm4+fQKhH61EV5ok8JSqVinXr1jFnzhzhW/eQIUNYtGgRbdu2rWbrRERERF5O2rdvT48ePVAqlZXulfaqIJVKXxoHrSqokenO29nq6F9+oZIj/vuBJ2i/8SAHrsaCRB9adq54rMgLRSKR8Pvvv3P9+nWcnJw4cOAA27dvFx00ERERkcfw8ccfv3YOGsD48eOr24QqpUZG0h48jKTlK4u5ezIDeKQ2YG5iXvHOF6OhuAgsOoCRWcVjRaqcpKQkiouLkclkACxZsoThw4fj5eUlLLsWERERERF5HanST0GJRNJXIpGclUgk5yQSiZ+O12dIJJLTEokkUSKR7JVIJC0qM6/SQO2kFSqLMa6jbrdR6YUDYuuNl4IbN24wYcIE5HI5n3zyibAcvm3btnh7e4sOmoiIiIjIa0+VfRJKJBJ9YAXwLmALeEskEttSw44DjiqVSgZsA5ZUZm6lvhEABcXFGNUxRKVSCTVpj42kaZy0NmI9WnVw7949AgMDsbS0ZM2aNejp6eHo6MiDBw+q2zQREREREZGXiqpMd3YAzqlUqvMAEokkDBgECG2gVSpVZInxh4EPKjOxcR0TAMzNjLDytiLzQSaFxYXUq1UPE0OT8nfMuQEZyWBYB956qoUWIk+JUqlk06ZN+Pv7c+3aNQAGDRrE4sWLH9ubSERERERE5HWkKnNKbwFXSmxfffhceYwFdldm4mIjdWfhes1MMetsUfl6NE0UrWVneJgyFXkx3LlzBx8fH65du4aDgwP79+9nx44dooMmIvISo6+vj0KhQCqVMmDAAC19yVOnTuHm5ka7du1o27YtgYGBWl38d+/ejaOjIzY2NlhbW+Pr61sdp/BUaHqH6epdpgtTU9MqsePMmTO4uLhQu3btMuLrJVGpVLi5uZVprvsyoVFcsLS0xMfHR6fiQ2ZmJp6enshkMjp06EBSUpLw2scff4y5uXkZSShfX1/27dtX5fZXF1XppOnqNKqzKZtEIvkAcAR0Ni2TSCQTJBJJnEQiiYNHLTg0klCVVhsQ69FeKMnJyRQUFADqxolBQUFs2rSJo0eP4uoqKj2IiLzsaGShkpKSaNCggSALlZeXx8CBA/Hz8yMlJYUTJ05w6NAhodlqUlISU6ZMYfPmzSQnJ5OUlFSmCemzUlRU9Fzn03Djxg0OHTpEYmIi06dPr5JjVJYGDRoQHBz8WAf3zz//RC6XV6g7WhqlUvms5j0Rn376KatXryY1NZXU1FT27NlTZszChQtRKBQkJiayceNGpk2bJrw2evRonftMnTqVRYsWVant1UlVOmlXgeYlti2Aa6UHSSSSXoA/MFClUuksTFKpVKtVKpWjphlckZ56sUBptYE3TSrokaZSiU7aCyI9PZ2JEycilUr58ccfhecnTJjABx98IC4KEBF5Ur4yq5rHE+Di4kJaWhoAW7ZsoXPnzri7uwNgYmJCSEiI8GG5ZMkS/P39hW73mobUpcnNzWXMmDHY29sjk8nYvn07oB2Z2rZtG6NHjwbUH9QzZsygR48ezJw5k5YtW2pF9ywtLUlPTycjI4OhQ4fi5OSEk5MT0dHRZY6dn58vHLt9+/aC2oG7uzs3b95EoVBw8OBBrX3S09Px9PRELpcjl8s5dOhQmfPp2bMn77zzDvb29uzcuRNQ1+L2798fuVyOVCpl69atAPj5+WFra4tMJtPpiJmbm+Pk5IShYcV61KGhoQwaNEjYHjx4MA4ODtjZ2WlJ6pmamjJ37lw6duxITEwM8fHxuLq64uDgQJ8+fYT+lGvWrMHJyQm5XM7QoUO5f/9+hcd/HNevXyc7OxsXFxckEgmjRo1ix44dZcadPn1a6HlmbW3NxYsXBXH4bt260aBBgzL7tGjRgtu3b3Pjxo1nsvFlpSpr0mKBthKJpBWQBowA3i85QCKRtAd+BPqqVKqblZ1YE0nT6HbeuKe+ORWmO2+lQM51qGMO5qXXL4g8D+7fv893333HokWLyM3NRV9f/5X9wxEReZ1QKpXs3buXsWPHAupUp4ODg9aYNm3akJubS3Z2NklJSXz22WePnTcwMBAzMzNOnjwJPNLurIiUlBQiIiLQ19cXtD3HjBnDkSNHaNmyJU2aNOH9999n+vTpdOnShcuXL9OnTx+Sk5O15tFEBU+ePMmZM2dwd3cnJSWFXbt24eHhoVNL08fHB1dXV8LDw1EqleTm5mq9bmRkRHh4OPXq1ePWrVs4OzszcOBA9uzZQ7Nmzfjjjz8Atb7mnTt3CA8P58yZM0gkEi1n80mJjo7W+kK8bt06GjRoQF5eHk5OTgwdOpSGDRty7949pFIp8+bNo7CwEFdXV3bu3Enjxo3ZunUr/v7+rFu3jiFDhgj9xwICAli7di1Tp07VOmZkZKTOSKOJiUkZ5zUtLQ0LCwth28LCQnD4SyKXy/ntt9/o0qULR48e5dKlS1y9epUmTSrOkr3zzjtER0czdOjQx1+sGkaVOWkqlapIIpFMAf4H6APrVCrVKYlEMg+IU6lUu1CnN02BXx/qc11WqVRlVVdLUSRRf6uobVQq3VlR+42SUTRR8/G5UlxczObNm/H39+fq1asADBgwgMWLF4uyNiIiz4OvsqrlsHl5eSgUCi5evIiDgwO9e/cG1DVQ5WnnPommbkREBGFhYcJ2/fr1H7vPsGHDhKatXl5ezJs3jzFjxhAWFibod0ZERHD6tLBGjezsbHJycqhbt67wXFRUlOB4WFtb06JFC1JSUipMGe7bt4+NGzcC6no9MzPtaKRKpeKLL77gwIED6OnpkZaWRnp6Ovb29vj6+jJr1iw8PDzo2rUrRUVFGBkZMW7cOPr374+Hh8djz7087ty5o3VuwcHBgjD9lStXSE1NpWHDhujr6wuOzNmzZ0lKShLuqVKpFHRSk5KSCAgI4O7du+Tm5tKnT58yx+zRo4dOR1YXuurPdL1P/Pz8mDZtGgqFQohwVkaT09zcXFiQ9qpRpc1sVSrVn8CfpZ6bW+L3Xk8zbxFqJ63gXiEoix/1SKuoJu3fhwtJW3d/mkOKVEB4eDgfffQRoJYnCQoKws3NrZqtEhEReVY0NWlZWVl4eHiwYsUKfHx8sLOz48CBA1pjz58/j6mpKXXr1sXOzo74+HjkcnmF85fn7JV8Lj8/X+u1OnXqCL+7uLhw7tw5MjIy2LFjBwEBat3m4uJiYmJiMDY2rvDYz5vQ0FAyMjKIj4/H0NCQli1bkp+fT7t27YiPj+fPP/9k9uzZuLu7M3fuXI4ePcrevXsJCwsjJCTkqQvgDQwMKC4uRk9Pj/379xMREUFMTAwmJiZ0795duIZGRkaCg6tSqbCzsyMmJqbMfKNHj2bHjh3I5XLWr1/P/v37y4x5kkiahYWF8AUe4OrVqzRr1qzMvvXq1ePnn38W7GvVqhWtWrV67Pnn5+dXeK9rMjWyOKhApfYtN2w8AUdvPL6RrbIQLkapf28tFqw/D0qmJQYPHkz//v3ZsGEDcXFxooMmIvKKYWZmRnBwMEFBQRQWFjJy5EiioqKIiIgA1BE3Hx8fPv/8cwBmzpzJwoULSUlJAdRO09KlS8vM6+7uTkhIiLCt+b/SpEkTkpOThXRmeUgkEjw9PZkxYwY2NjY0bNhQ57y6Ij7dunUjNDQUUKdQL1++/NjV5j179mTlypWAOvJUejVlVlYW5ubmGBoaEhkZyaVLlwC4du0aJiYmfPDBB/j6+nLs2DFyc3PJysqiX79+LFu2rNJRKV1YWVlx/vx5wYb69etjYmLCmTNnOHz4cLn7ZGRkCE5aYWEhp06dAiAnJ4emTZtSWFgoXKPSaCJppR+lHTSApk2bUrduXQ4fPoxKpWLjxo1aNXQa7t69Kyw2++mnn+jWrVulFkOkpKSUWfX5qlAjnTSV/kOB9QIlGOs/vgVH2jEoyIGGbcHMQvcYkUpx8+ZNJk+eTIsWLbhyRd1hRV9fn99//51Ro0aJiwJERF5R2rdvj1wuJywsDGNjY3bu3Mn8+fOxsrLC3t4eJycnpkyZAoBMJmPZsmV4e3tjY2ODVCoVitJLEhAQQGZmJlKpFLlcLhTvL1q0CA8PD9zc3IQUXHl4eXmxefNmIdUJ6nRfXFwcMpkMW1tbVq1aVWa/SZMmoVQqsbe3x8vLi/Xr11O7du0Kj7V8+XIiIyOxt7fHwcFBcGo0jBw5kri4OBwdHQkNDRUWTpw8eZIOHTqgUChYsGABAQEB5OTk4OHhgUwmw9XVVWe7jxs3bmBhYcHSpUuZP38+FhYWOtts9O/fX4h29e3bl6KiImQyGXPmzMHZ2VnnudSqVYtt27Yxa9Ys5HI5CoVCcLACAwPp2LEjvXv3Fs7hWVm5ciXjxo3D0tKSNm3a8O677wKwatUq4f4kJydjZ2eHtbU1u3fvZvny5cL+3t7euLi4cPbsWSwsLFi7di2gdi7PnTuHo+Or2ftUUhUh36pEamSsmjr4W4resOaPqHP8d+u7uMT1w9jAmCPvH9FdD7F/MexfCB0mQD+dXT5EHkNeXh7Lly9n4cKF5OTkoKenx9q1a4VVVyIiIs+X5ORksaZTpFJcv36dUaNG8ffff1e3KS+c8PBwjh07RmBgYHWbAuj+u5VIJPGa7hRPSo0MexTrq2vS6itVpOvdAdSpznILVsXWG09NcXGx8I1w9uzZ5OTk0K9fPxITE0UHTUREROQloGnTpowfP/6lbmZbVRQVFVVqJXFNpUoXDlQVqod90hb8dyjX6qlrHspNdT7IgatHQaIHLbu8KBNfGaZPn05wcDCgTmF8++239Or1VOs9RERERESqiOHDh1e3CdXCsGHDqtuEKqVGRtJ42IKjlpH+4xcNXDoExUXwlgMYPVnzxteV4uJi4fexY8diYWHBunXrOHbsmOigiYiIiIiIvCBqdCTNoJY+6Xcf035DSHX2eAGW1Wxu3brFf/7zH/7991/++OMPJBIJMpmM8+fPP7bjtYiIiIiIiMjzpUY6aeipzTaoVYlImliP9ljy8/MJDg5mwYIFZGdno6enx6lTp4QlzaKDJiIiIiIi8uKpkelO1UMnzbD2Y9pv5NyAm6fB0AQsnF6kiTWC4uJifvnlF6ytrZk1axbZ2dn06dOHhISEV7bnjIiIiIiISE2hRjppmpo0w1r6jyShdKU7z/+j/tmiMxjUelHW1QiKi4txc3Pj/fff59KlS0ilUvbs2cOePXuwt7evbvNEREReAvT19VEoFEilUgYMGKClL3nq1Cnc3Nxo164dbdu2JTAwUKuL/+7du3F0dMTGxgZra2udAuIvK97e3shkMp29y3RRUhD+eRIaGopMJkMmk9GpUydOnDihc5xKpcLNze2lXt0ZHx+Pvb09lpaW+Pj46FR8yMzMxNPTE5lMRocOHUhKShJe+/jjjzE3Ny8TQPD19X1qpYaaQM100h5G0v70319xulNMdZaLnp4eXbp04c0332TNmjUkJCTo1GcTERF5fdHIQiUlJdGgQQNBlDwvL4+BAwfi5+dHSkoKJ06c4NChQ/zwww+AWvtxypQpbN68meTkZJKSkmjduvVzta2oqOi5zqfhxo0bHDp0iMTERJ2yRy+SVq1a8c8//5CYmMicOXOYMGGCznF//vkncrm8Ut35NSiVyudlZqX49NNPWb16NampqaSmprJnz54yYxYuXIhCoSAxMZGNGzcybdo04bXRo0fr3Gfq1KksWrSoSm2vTmpcTZpKAhKJPsUqFX/vOMHdd+5ioGdAA6MGpQaqHjlpbcRFA7dv32b+/Pm88847fPjhhwDMnj0bPz+/KvsWKCIi8nyw31A10e2TH52s9FgXFxcSExMB2LJlC507d8bd3R1Q6zWGhITQvXt3Jk+ezJIlS/D39xe61RsYGDBp0qQyc+bm5jJ16lTi4uKQSCR8+eWXDB06FFNTU3JzcwHYtm0bv//+O+vXr2f06NE0aNCA48ePo1AoCA8PJyEhgTfeeAMAS0tLoqOj0dPTY+LEiVy+fBmAZcuW0blzZ61j5+fn8+mnnxIXF4eBgQFLly6lR48euLu7c/PmTRQKBd9//z1du3YV9klPT2fixImCBNPKlSvp1KmT1vkMGjSIzMxMCgsLmT9/PoMGDeLevXsMHz6cq1evolQqmTNnDl5eXvj5+bFr1y4MDAxwd3cnKChIy8aSczs7O2vpX5YkNDRUy4EbPHgwV65cIT8/n2nTpgmvmZqaMmPGDP73v//x7bffYmxszIwZM8jNzaVRo0asX7+epk2bsmbNGlavXk1BQQGWlpZs2rQJExMT3W+MSnD9+nWys7NxcXEBYNSoUezYsUNQHdBw+vRpZs+eDahF7y9evEh6ejpNmjShW7duXLx4sczcLVq04Pbt29y4cYM333zzqW18WalxThqoG9YWqlRIGj4AwNzYHD1JqaDg28raYQAAIABJREFUrVTIuQZ1GoO57Ys28qXhwYMHhISEMH/+fO7evYuFhQUjRozA0NBQS6hYREREpDyUSiV79+5l7NixgDrV6eDgoDWmTZs25Obmkp2dTVJSUqUajAYGBmJmZsbJk2pnsaQmcHmkpKQQERGBvr6+oO05ZswYjhw5QsuWLWnSpAnvv/8+06dPp0uXLly+fJk+ffqQnJysNY8mKnjy5EnOnDmDu7s7KSkp7Nq1Cw8PD51amj4+Pri6uhIeHo5SqRQcSQ1GRkaEh4dTr149bt26hbOzMwMHDmTPnj00a9aMP/74A1Dra965c4fw8HDOnDmDRCLRSiXrYu3atWWcGg3R0dH8+OOPwva6deto0KABeXl5ODk5MXToUBo2bMi9e/eQSqXMmzePwsJCXF1d2blzJ40bN2br1q34+/uzbt06hgwZwvjx4wG1dNfatWuZOnWq1jGfRGA9LS0NC4tHkowWFhakpaWV2Vcul/Pbb7/RpUsXjh49yqVLl7h69SpNmpSzMPAh77zzDtHR0QwdOrTCcTWRGuekqSSPnDRVwzygvHo0tQYcrbtDeUoErzAqlYpff/0VPz8/Lly4AECvXr0ICgoSV2uKiNQwniTi9TzJy8tDoVBw8eJFHBwc6N27N6D+/1Kewku5yi86iIiIICwsTNiuX7/+Y/cZNmwY+vr6gFq3c968eYwZM4awsDBBvzMiIoLTp08L+2RnZ5OTk0PdunWF56KiogTHw9ramhYtWpCSklJhynDfvn1s3LgRUNfrmZlp995UqVR88cUXHDhwAD09PdLS0khPT8fe3h5fX19mzZqFh4cHXbt2paioCCMjI8aNG0f//v3x8PAo97iRkZGsXbuWqKgona/fuXNH69yCg4MFYforV66QmppKw4YN0dfXFxyZs2fPkpSUJNxTpVIp6KQmJSUREBDA3bt3yc3N1VkKoxFYrwy66s90vU/8/PyYNm0aCoUCe3t72rdvj4HB490Uc3Nzrl27Vilbaho1zknTlNFJ9KBtrzeIQqxHK01aWhrvvfcehw8fBsDW1pagoCD69u37RP9ARUREXm80NWlZWVl4eHiwYsUKfHx8sLOz48CBA1pjz58/j6mpKXXr1sXOzo74+HjkcnmF85fn7JV8Lj8/X+u1khkAFxcXzp07R0ZGBjt27CAgIABQL4yKiYnB2Ni4wmM/b0JDQ8nIyCA+Ph5DQ0NatmxJfn4+7dq1Iz4+nj///JPZs2fj7u7O3LlzOXr0KHv37iUsLIyQkBCdBfCJiYmMGzeO3bt307BhQ53HNTAwoLi4GD09Pfbv309ERAQxMTGYmJjQvXt34RoaGRkJDq5KpcLOzo6YmJgy840ePZodO3Ygl8tZv369IN5ekieJpFlYWGilaq9evUqzZs3K7FuvXj1+/vlnwb5WrVrRqlUrnedckvz8/ArvdU2mxi0c0ETSatWthVk/9beuMu03lEVw4aD699bdX5xxLwnm5uZkZmbSpEkTfvzxR06cOMG7774rOmgiIiJPhZmZGcHBwQQFBVFYWMjIkSOJiooiIiICUEfcfHx8+PzzzwGYOXMmCxcuJCVFLdtXXFzM0qVLy8zr7u5OSEiIsK1JdzZp0oTk5GQhnVkeEokET09PZsyYgY2NjeDElJ5XV8SnW7duhIaGAuoU6uXLl7GysqrwOvTs2ZOVK1cC6shT6dWUWVlZmJubY2hoSGRkJJcuXQLg2rVrmJiY8MEHH+Dr68uxY8fIzc0lKyuLfv36sWzZMp02Xr58mSFDhrBp0ybatWtXrl1WVlZCnVxWVhb169fHxMSEM2fOCF/Wde2TkZEhOGmFhYWcOnUKgJycHJo2bUphYaFwjUqjiaSVfpR20ECtLVq3bl0OHz6MSqVi48aNDBo0qMy4u3fvUlBQAMBPP/1Et27dKrUYIiUl5ZVtG1XjnDRNTZrEUO9R+43SkbRrx6AgBxq2BTOL0hO8cmRmZjJr1izS09UrXQ0NDfntt99ITU1lwoQJlQoXi4iIiFRE+/btkcvlhIWFYWxszM6dO5k/fz5WVlbY29vj5OTElClTALXO77Jly/D29sbGxgapVMr169fLzBkQEEBmZiZSqRS5XE5kpLpMZdGiRXh4eODm5iak4MrDy8uLzZs3C6lOUKf74uLikMlk2NrasmrVqjL7TZo0CaVSib29PV5eXqxfv57atWtXeKzly5cTGRmJvb09Dg4OglOjYeTIkcTFxeHo6EhoaKiwcOLkyZN06NABhULBggULCAgIICcnBw8PD2QyGa6urjrbfcybN4/bt28zadIkFAoFjo6OOu3q37+/EO3q27cvRUVFyGQy5syZg7Ozs859atWqxbZt25g1axZyuRyFQiE4WIGBgXTs2JHevXsL5/CsrFy5knHjxmFpaUmbNm2E+rpVq1YJ9yc5ORk7Ozusra3ZvXs3y5cvF/b39vbGxcWFs2fPYmFhwdq1awG1c3nu3Llyr01NR1IVId+qxNq0vmrqB9tRNq7Nebdf2Xt5L0GuQfRpWSJn/s8SiFwATuOhf1D5k9VwCgoK+OGHH5g3bx6ZmZlMnDhR+JYnIiJSs0lOTsbGxqa6zRCpAVy/fp1Ro0bx999/V7cpL5zw8HCOHTtGYGBgdZsC6P67lUgk8SqV6qm8yBoYYlFH0vQN9QS1gTKRtH9LLBp4BVGpVPz222/MmjWLf//9FwA3N7dye+iIiIiIiLy6NG3alPHjx5Odnf1EvdJeBYqKiiq1krimUuOcNE1Nml556c4HuXD1qHplQcsu1WFilXLixAkmT55MdHQ0ADY2NnzzzTf069dPrDkTEREReU0ZPnx4dZtQLQwbNqy6TahSalxNmkoTSaslISMvAwkSGpk0ejTg0iEoLoK3HMD4jWqysurIz88nOjqaxo0bs3LlShITE+nfv7/ooImIiIiIiLxi1DgnjYdNa6Ni/kWFikbGjTDUK9H36xVrvZGZmSksSQbo2LEjW7Zs4dy5c0ycOFFcFCAiIiIiIvKKUuOcNE0kLV9P3ci2TPuN869GPVpBQQHBwcFYWlry8ccfa/Uk8vb2fu3qDkRERERERF43al4Y5mFar0j/odpAyXq0nHS4eRoMTcDCqTqse2ZUKhU7duxg1qxZpKamAuDq6ipo04mIiIiIiIi8HtS8SNpDJ01Z6z5QShLqwj/qny06gUHF/W5eRmJjY3F1dWXIkCGkpqbSrl07du7cSWRkJDKZrLrNExERec3Q19dHoVAglUoZMGCAlr7kqVOncHNzo127drRt25bAwECtLv67d+/G0dERGxsbrK2t8fX1rY5TeCq8vb2RyWQ6e5fpwtTUtErs2LlzJzKZTOiRVp4sVF5eHq6uriiVyiqx43mwZ88erKyssLS0ZNGiRTrHXLp0iZ49eyKTyejevbuWSsHnn3+OnZ0dNjY2+Pj4CO+1Xr16VUrztaZS45w0jclyZ7VOmVa6U6hH6/GCbXo+bNmyhYMHD9KoUSNCQkJISkpi4MCB4qIAERGRakEjC5WUlESDBg0EUfK8vDwGDhyIn58fKSkpnDhxgkOHDvHDDz8Aau3HKVOmsHnzZpKTk0lKSqJ169bP1baioqLnOp+GGzducOjQIRITE3XKHr1IevbsyYkTJ0hISGDdunWMGzdO5ziNKLpG8ulxqFQqiouLn6epFaJUKpk8eTK7d+/m9OnT/PLLL1raqhp8fX0ZNWoUiYmJzJ07l9mzZwNw6NAhoqOjSUxMJCkpidjYWP75Rx2U+fDDD4X33atIjXPSNJG0Bwa5QIl0p0pV4xYNZGVlaUmBzJkzB39/f86dO8fkyZNFIXQREREAkq1tquTxJLi4uJCWlgaov1B27twZd3d3QK3XGBISIkRIlixZgr+/v9Ct3sDAgEmTJpWZMzc3lzFjxmBvb49MJmP79u2AdmRq27ZtjB49GlBrSs6YMYMePXowc+ZMWrZsqRXds7S0JD09nYyMDIYOHYqTkxNOTk5Cy6KS5OfnC8du3769oHbg7u7OzZs3USgUHDx4UGuf9PR0/n979x5WdZU2fPy7EA0URB0PeUpFkpCjor1Qo4YH8kCak4qFU2ra4xDq1JDludes1HFMjbSxaaKSwicVNTPtwTAfvTyBoggooqKpZaK+Ispxs94/9mYPZ7YHDtvuz3VxXezf/h1ufku2N2ut37pHjhyJt7c33t7e5UogZWdnM2DAAHr27ImnpyebN28G4NatWwwbNgxvb288PDxYt24dYCwo3r17d7y8vCrsaXRwcDD/kX7r1q1K/2CPiooyl1mqLIaMjAzc3NwIDQ2lZ8+e/Pzzz/zwww/4+/vTs2dPRo8eTXa28f/VBQsW0Lt3bzw8PHjllVfuuc7pwYMHcXFxwdnZmUaNGjF27FhzXCWlpKQwYMAAwFh2qngfpRS5ubnk5+eTl5dHQUEBbdoY/+8fPnw4X3/99T3FV59Z35w004MDN/U1AB5u8rBxc+YpyLoITVpB6+51FZxFCgoKWLNmDW+//TaOjo6kpqby0EMP0aJFCxYuXFjX4QkhRCkGg4GdO3fy8ssvA8ahTl9f31L7dO3alezsbLKysjh+/LhFC4y+8847ODk5kZSUBGDRsFVaWhqxsbE0aNDAXNtzwoQJHDhwgM6dO9OmTRteeOEFXnvtNf74xz9y/vx5nn76aVJTU0udp7hXMCkpiRMnThAYGEhaWhpbtmwhKCiowlqa06ZNo1+/fsTExGAwGMxJTTE7OztiYmJo2rQpmZmZ+Pn5MXz4cLZv3067du347rvvAOMf6NeuXSMmJoYTJ06glCqVbJYUExPDzJkz+e2338zHl5Sfn8+ZM2fo3LlzlTEAnDx5ks8++4xVq1aRmZnJwoULiY2NpUmTJixevJhly5Yxb948wsLCmDdvHmDsqdq6dSvPPPNMqetGRUXx97//vVw8Li4urF+/vtS2ixcv0rFjR/PrDh06cODAgXLHent7s2HDBqZPn05MTAw3b97k6tWr+Pv7ExAQQNu2bdFaExYWZl7Vv3nz5uTl5XH16tVKC9BbM6tL0rRpCY7rRZlAiZ604l60Lv3Apn52EGqt+fbbb5kxYwYnT54E4LHHHuPKlSt06PDg1xgVQtwdtxOp1e9UA3JycvDx8SEjIwNfX18GDRoEGD/LKuvVuZPpGbGxsURHR5tfN2/evNpjRo8ebR7WCw4OZsGCBUyYMIHo6Ghz/c7Y2NhSw2lZWVncvHkTR0dH87Y9e/YwdepUwPg53KlTJ9LS0qp8cv7HH3/kiy++AIzz9ZycnEq9r7Vm1qxZ7N69GxsbGy5evMjly5fx9PQkPDycN998k6CgIPr06UNhYSF2dnZMmjSJYcOGERQUVOE1R44cyciRI9m9ezdz5841F7UvlpmZWerBsspiAOjUqZO5luf+/ftJSUnhySefBIzJnr+/PwBxcXEsWbKE27dvc+3aNdzd3cslaSEhIYSEhFR6r8rel7Iq+neydOlSwsLCiIyMpG/fvrRv3x5bW1vS09NJTU01z1EbNGgQu3fvpm/fvgC0bt2aS5cuPZBJWv3MZqpQvATHdYMxSTPPSavnQ50JCQn079+fESNGcPLkSVxcXNi4cSO7d++WBE0IUS8Vz0k7d+4c+fn55t4nd3d34uPjS+175swZHBwccHR0xN3dnYSEhGrPX1myV3Jbbm5uqfeaNGli/t7f35/09HSuXLnCpk2b+NOf/gRAUVER+/btIzExkcTERC5evFgqQSu+9v0WFRXFlStXSEhIIDExkTZt2pCbm0u3bt1ISEjA09OTmTNnsmDBAmxtbTl48CDPPfccmzZtYvDgwVWeu2/fvpw+fZrMzMxS2+3t7Uvdo8pigNL3TmvNoEGDzPcoJSWFTz/9lNzcXEJDQ1m/fj1JSUlMnjy5XBsUX8fHx6fc16hRo8rt26FDB37++Wfz6wsXLtCuXbty+7Vr146NGzdy5MgR3n33XQCcnJyIiYnBz88PBwcHHBwcGDJkCPv37zcfl5ubi729fZX3z1pZXZJWvARHrrqN00NO2NnagaEQMkxzB5yfqrPQKlNYWMioUaPYtWsXLVq0YMWKFSQnJzNy5Eh5KEAIUe85OTmxcuVKli5dSkFBASEhIezZs8fcq5OTk8O0adOYMWMGAG+88QbvvfceaWlpgDFpWrZsWbnzBgYGEhERYX5dPNzZpk0bUlNTzcOZlVFKMXLkSF5//XXc3NzMPSllz1vR0GXfvn2JiooCjEOo58+fx9XVtcr7MGDAAFavXg0Yh4CzsrJKvX/jxg1at25Nw4YNiYuL49y5cwBcunSJxo0bM27cOMLDwzl8+DDZ2dncuHGDoUOHsnz58gpjTE9PNyeThw8fJj8/v1xvUfPmzTEYDOZEqrIYyvLz82Pv3r2kp6cDcPv2bdLS0sznadmyJdnZ2eWGLouFhISYE7ySXxXt37t3b06dOsXZs2fJz88nOjraPARbUmZmpvmBhvfff5+JEycC8Mgjj/DTTz9RWFhIQUEBP/30k3m4U2vNr7/+ah7ufdBYXZJWPNxZaJP/n6HOS0cgLwv+4ALNOlZxdO3Jysoy/wLb2tqyePFiwsPDOX36NNOmTaNRo0Z1HKEQQliuR48eeHt7Ex0djb29PZs3b2bhwoW4urri6elJ7969CQsLA8DLy4vly5fz/PPP4+bmhoeHB7/88ku5c86ZM4fr16/j4eGBt7e3efL+okWLCAoKon///rRt27bKuIKDg1m7dq15qBNg5cqVxMfH4+XlRffu3fn444/LHRcaGorBYMDT05Pg4GAiIyN56KGql25asWIFcXFxeHp64uvrS3Jycqn3Q0JCiI+Pp1evXkRFRZkfnEhKSuLxxx/Hx8eHd999lzlz5nDz5k2CgoLw8vKiX79+FS73sWHDBjw8PPDx8eHVV19l3bp1Ff5hHxgYaF6eo7IYymrVqhWRkZHm5Ub8/Pw4ceIEzZo1Y/LkyXh6evLss8/Su/e9rzlqa2tLREQETz/9NG5ubowZMwZ3d3cA5s2bx5YtWwDYtWsXrq6udOvWjcuXLzN79mwARo0aRdeuXfH09DQ/tFE8/JqQkICfn98DW31H1USXb03q3NJFvzFqDV/4zqVnFy9WD1wNPy2BuHeh9yQY9o86ja+wsJBPPvmE+fPn89JLL1U4sVIIIaqTmppq7i0QoipHjhxh2bJlfPnll3UdSq2bPn06w4cPNz8VWtcq+r1VSiVorXvdzfmsLvUsXoKjVE9aPZiPprVm27ZtvPHGG+aniBISEigqKsKmnj7IIIQQwvr16NGDgIAADAaDxWulPSg8PDzqTYJWE6wweyiRpDVpA3nZ8PNBY+H1zn3qJKLExEQGDhxIUFAQqampODs7880337Bz505J0IQQQtS4iRMn/u4SNIDJkyfXdQg1yvp60lAUYaDIpoiHGz8M5/dBUQG07wX2tV/f8sSJE/Ts2ROtNc2bN2fu3LmEhoZWO7dBCCGEEKIqVpekARRRAJiW30gyLe7n/FStXT8/P9888f+xxx5j5MiRdOrUiTlz5tCiRYtai0MIIYQQDy6rHIsrsskDTAvZ1uJ8tMLCQtasWUOnTp1KrRG0fv16li1bJgmaEEIIIe4bq0zSDMqUpGkFvyVDw8bQ8fEau57Wmu+//x4fHx/+67/+i19//dW86jTc2QrbQgghhBCWsNokzd7WHoefTStad3oCbGtmDtjRo0cJDAxk6NChJCcn06VLF9atW8eKFStq5HpCCFFfNGjQAB8fHzw8PHjmmWdK1ZdMTk6mf//+dOvWjUcffZR33nmn1Cr+33//Pb169cLNzY3HHnuswgLi9VXx2mEVrV1WkZIF4WvCoUOHaNCgQaULy+bk5NCvXz8MBkONxnEvtm/fjqurKy4uLixatKjCfc6dO8eAAQPw8vLiqaeeMpeBAnjzzTfx8PAoVaAeYOzYsZw6darG468zWmur+urYspt+N2yNDtoYpHVMqNbzm2q9d6WuCZGRkVoppQHdrFkzvXTpUp2bm1sj1xJCiJJSUlLqOgTdpEkT8/cvvviiXrhwodZa69u3b2tnZ2e9Y8cOrbXWt27d0oMHD9YRERFaa62TkpK0s7OzTk1N1VprXVBQoD/66KP7GltBQcF9PV+xX375RT/yyCN3dEzJ+3S/FRYW6oCAAD1kyBD9zTffVLhPRESEXr58ucXnLCoq0gaD4X6FWK3CwkLt7OysT58+rfPy8rSXl5dOTk4ut9+oUaN0ZGSk1lrrnTt36nHjxmmttd66daseOHCgLigo0NnZ2drX11ffuHFDa631rl279KRJk2rtZ6lORb+3QLy+y5zHOh8cKF4jLdm4OnVNzUcLDAykWbNmvPjii8ydO/eBLN4qhKj/PpryY42c99WP+1u8r7+/P8eOHQPgq6++4sknnyQwMBCAxo0bExERwVNPPcWrr77KkiVLmD17tnm1e1tbW0JDQ8udMzs7m6lTpxIfH49Sivnz5/Pcc8/h4OBAdnY2YJzzu3XrViIjIxk/fjwtWrTgyJEj+Pj4EBMTQ2JiornAuIuLC3v37sXGxoYpU6Zw/vx5AJYvX24uJF4sNzeXv/zlL8THx2Nra8uyZcsICAggMDCQ3377DR8fHz788EP69PnP0k6XL19mypQpnDlzBoDVq1fzxBNPlPp5RowYwfXr1ykoKGDhwoWMGDGCW7duMWbMGC5cuIDBYGDu3LkEBwfz1ltvsWXLFmxtbQkMDGTp0qXl7tGHH37Ic889x6FDhyptm6ioKL766qsqY8jIyGDIkCEEBASwb98+Nm3axMmTJ5k/fz55eXl07dqVzz77DAcHBxYsWMC3335LTk4OTzzxBP/85z/vaVrPwYMHcXFxwdnZGTD2fm3evJnu3buX2i8lJcXcexkQEMCzzz5r3t6vXz9sbW2xtbXF29ub7du3M2bMGPr06cP48eMpLCx8IKsOWOVwZ6HKJ+dkNmRdhMYtobX7PZ/TYDDw6aefMnDgQAoLCwFo27Yt586dY/ny5ZKgCSF+twwGAzt37jTXW0xOTsbX17fUPl27diU7O5usrCyOHz9e7v2KvPPOOzg5OZGUlMSxY8fo37/6pDEtLY3Y2Fg++OADRowYYa7teeDAATp37kybNm2YPn06r732GocOHWLDhg1MmjSp3HmKi8UnJSXx9ddf89JLL5Gbm8uWLVvo2rUriYmJpRI0gGnTptGvXz+OHj3K4cOHzaWNitnZ2RETE8Phw4eJi4vjb3/7G1prtm/fTrt27Th69CjHjx9n8ODBXLt2jZiYGJKTkzl27Bhz5swpF+PFixeJiYlhypQpld6P/Px8zpw5Y65dWVkMACdPnuTFF1/kyJEjNGnShIULFxIbG8vhw4fp1auXub5qWFgYhw4d4vjx4+Tk5LB169Zy172TAusXL16kY8f/lGzs0KEDFy9eLLeft7c3GzZsACAmJoabN29y9epVvL29+f7777l9+zaZmZnExcWZC7bb2Njg4uLC0aNHK71H1swq006DTT4tbpkK2zr3g3tcMPaHH34gPDycpKQkwFgvrbgOnKOj4z2dWwgh7tWd9HjdTzk5Ofj4+JCRkYGvry+DBg0CjNNkKutZuZMel9jYWKKjo82vmzdvXu0xo0ePNi/aGhwczIIFC5gwYQLR0dHmz+3Y2FhSUlLMx2RlZXHz5s1Sn+d79uxh6tSpgHEppU6dOpGWlkbTpk0rvfaPP/5ofmisQYMGODk5lXpfa82sWbPYvXs3NjY2XLx4kcuXL+Pp6Ul4eDhvvvkmQUFB9OnTh8LCQuzs7Jg0aRLDhg0jKCio3PX++te/snjx4ioXqc3MzDT3JFYVA0CnTp3w8/MDYP/+/aSkpJh7GPPz8/H39wcgLi6OJUuWcPv2ba5du4a7u7u5VmaxkJAQQkJCKo2r7H0pq6J/J0uXLiUsLIzIyEj69u1L+/btzb2Mhw4d4oknnqBVq1b4+/uX6jVr3bo1ly5dsugPA2tjlUlaoU0eLuq68YVzwF2f5/jx44SHh7Njxw7A+A940aJFjB49+n6EKYQQVs3e3p7ExERu3LhBUFAQH330EdOmTcPd3Z3du3eX2vfMmTM4ODjg6OiIu7s7CQkJeHt7V3n+ypK9kttyc3NLvdekSRPz9/7+/qSnp3PlyhU2bdpk7o0qKipi37592NvbV3nt+y0qKoorV66QkJBAw4YN6dy5M7m5uXTr1o2EhAS2bdvGzJkzCQwMZN68eRw8eJCdO3cSHR1NREQEP/5Yelg7Pj6esWPHAsZkbNu2bdja2pqHAcHYRiXvUWUxQOl7p7Vm0KBBfP3116WumZubS2hoKPHx8XTs2JG33367XBsUX6ei2tQuLi7lHnDo0KGDuecL4MKFC7Rr167cse3atWPjxo2Acdh2w4YN5kR49uzZ5oLrL7zwAo8++mipmKtqa2tmlcOdBpWPG5eML5yfuqtzzJo1C29vb3bs2EHTpk1ZvHgxJ06cYOzYsVLKSQghSnBycmLlypUsXbqUgoICQkJC2LNnD7GxsYCxx23atGnMmDEDgDfeeIP33nuPtLQ0wJg0FQ+llRQYGEhERIT59fXrxj++27RpQ2pqKkVFRebhzIoopRg5ciSvv/46bm5u5mkpZc+bmJhY7ti+ffsSFRUFGIdQz58/j6ura5X3YcCAAaxevRowDgFnZWWVev/GjRu0bt2ahg0bEhcXx7lz5wC4dOkSjRs3Zty4cYSHh3P48GGys7O5ceMGQ4cOZfny5RXGePbsWTIyMsjIyGDUqFGsWrWqVIIGxt5Hg8FgTqQqi6EsPz8/9u7dS3p6OgC3b98mLS3NfJ6WLVuSnZ1d6ROlISEhJCYmlvuqaP/evXtz6tQpzp49S35+PtHR0eah85IyMzMpKioC4P3332fixInme3316lUAjh07xrFjx8zzIcHYfmWHnh8UVpmNFDbIp0PRLWhK4qMVAAAMt0lEQVTRFZp1rP6ACnTp0gUbGxvCwsI4ffo0M2bMwM7O7j5HKoQQD4YePXrg7e1NdHQ09vb2bN68mYULF+Lq6oqnpye9e/cmLCwMAC8vL5YvX87zzz+Pm5sbHh4e/PLLL+XOOWfOHK5fv46Hhwfe3t7ExRkfBlu0aBFBQUH079+ftm3bVhlXcHAwa9euNQ91AqxcuZL4+Hi8vLzo3r07H3/8cbnjQkNDMRgMeHp6EhwcTGRkZLXl/FasWEFcXByenp74+vqSnJxc6v2QkBDi4+Pp1asXUVFR5gcnkpKSePzxx/Hx8eHdd99lzpw53Lx5k6CgILy8vOjXr5/Fy31UJDAwkD179lQZQ1mtWrUiMjLSvNyIn58fJ06coFmzZkyePBlPT0+effZZevfufddxFbO1tSUiIoKnn34aNzc3xowZY06q5s2bx5YtWwDYtWsXrq6udOvWjcuXL5t7zgoKCujTpw/du3fnlVdeYe3atebhzsuXL2Nvb1/tvxNrpWqiy7cmPdLKVT87eQjz7T7nDz0nQFD5v87KMhgMfPnll9y8edM8B6GwsJCzZ8+W6jIVQoj6IjU1FTc3t7oOQ1iBI0eOsGzZMr788su6DqXWffDBBzRt2pSXX365rkMBKv69VUolaK173c35rHJOWpFNPs2LiqBr9fPRYmNjCQ8P5+jRozRu3JjRo0fz8MMPY2trKwmaEEIIq9ejRw8CAgIwGAxVPmTwIGrWrBl//vOf6zqMGmOVw50PkYuNsoHOf6x0n+TkZIYNG8agQYM4evQoHTt2ZM2aNbRu3boWIxVCCCFq3sSJE393CRrAhAkTHsj10YpZ5U9mr3KgXQ+wL/+4dl5eHtOnT+eTTz6hqKgIR0dHZs2axfTp0x/Ypz+EEA+mqpa6EELULzUxfcwqe9IcyKn0qc5GjRpx8uRJlFKEhoaSnp7OW2+9JQmaEMKq2NnZcfXq1Rr54BdC3F9aa65evXrfH0C0yp40R51LfpsnaYTx0e61a9fSq1cvunfvjlKKVatWAcikWyGE1erQoQMXLlzgypUrdR2KEMICdnZ2dOjQ4b6es0aTNKXUYGAF0AD4l9Z6UZn3HwK+AHyBq0Cw1jqjuvM2LsrjxPl2XL1iLHlx5MgRhg4dynfffQdIciaEsH4NGzakS5cudR2GEKIO1ViSppRqAHwEDAIuAIeUUlu01ikldnsZuK61dlFKjQUWA8Hlz1ZaWkYeX+yayq59OwFo3749wcHBMn9DCCGEEA+MGlsnTSnlD7yttX7a9HomgNb6/RL77DDts08pZQv8CrTSVQTlaN9M38rLQmuNg4MDb731Fq+99hqNGzeukZ9DCCGEEOJu1dd10toDP5d4fQH4P5Xto7UuVErdAP4AZFZ20uzcLBTw0tjxLF6+iDZt2tzfqIUQQggh6oGaTNIqGncs20NmyT4opV4BXjG9zNNw/PPoSD6Pjry3CEVdaEkVSbio16TtrJu0n/WStrNuVReFrUJNJmkXgJKFNTtAcVX0cvtcMA13OgHXyp5Ia70GWAOglIq/225DUfek/ayXtJ11k/azXtJ21k0pFX+3x9bkOmmHgEeVUl2UUo2AscCWMvtsAV4yfT8K+LGq+WhCCCGEEL8XNdaTZppjFgbswLgEx7+11slKqQVAvNZ6C/Ap8KVSKh1jD9rYmopHCCGEEMKa1Og6aVrrbcC2Mtvmlfg+Fxh9h6ddcx9CE3VH2s96SdtZN2k/6yVtZ93uuv1qbAkOIYQQQghx96yydqcQQgghxIOu3iZpSqnBSqmTSql0pdRbFbz/kFJqnen9A0qpzrUfpaiIBW33ulIqRSl1TCm1UynVqS7iFBWrrv1K7DdKKaWVUvLUWT1iSfsppcaYfgeTlVJf1XaMomIWfHY+opSKU0odMX1+Dq2LOEV5Sql/K6V+U0odr+R9pZRaaWrbY0qpnpact14maSVKSg0BugPPK6W6l9nNXFIK+ABjSSlRxyxsuyNAL621F7AeWFK7UYrKWNh+KKUcgWnAgdqNUFTFkvZTSj0KzASe1Fq7A3+t9UBFORb+7s0B/ltr3QPjg3arajdKUYVIYHAV7w8BHjV9vQKstuSk9TJJAx4H0rXWZ7TW+UA0MKLMPiOAz03frwcGKCncWR9U23Za6zit9W3Ty/0Y19AT9YMlv3sA72BMrnNrMzhRLUvabzLwkdb6OoDW+rdajlFUzJK200BT0/dOlF97VNQRrfVuKljntYQRwBfaaD/QTCnVtrrz1tckraKSUu0r20drXQgUl5QSdcuStivpZeD7Go1I3Ilq208p1QPoqLXeWpuBCYtY8vvXDeimlNqrlNqvlKrqr39Reyxpu7eBcUqpCxhXTphaO6GJ++BO/28EangJjntw30pKiVpncbsopcYBvYB+NRqRuBNVtp9Sygbj9ILxtRWQuCOW/P7ZYhxyeQpjL/b/KqU8tNb/r4ZjE1WzpO2eByK11v9QSvljXGfUQ2tdVPPhiXt0VzlLfe1Ju5OSUlRVUkrUOkvaDqXUQGA2MFxrnVdLsYnqVdd+joAHsEsplQH4AVvk4YF6w9LPzs1a6wKt9VngJMakTdQtS9ruZeC/AbTW+wA7jHU9Rf1n0f+NZdXXJE1KSlmvatvONFz2T4wJmsyHqV+qbD+t9Q2tdUutdWetdWeMcwqHa63vujaduK8s+ezcBAQAKKVaYhz+PFOrUYqKWNJ254EBAEopN4xJ2pVajVLcrS3Ai6anPP2AG1rrX6o7qF4Od0pJKetlYdv9HXAAvjE963Feaz28zoIWZha2n6inLGy/HUCgUioFMABvaK2v1l3UAixuu78BnyilXsM4VDZeOifqB6XU1xinELQ0zRmcDzQE0Fp/jHEO4VAgHbgNTLDovNK+QgghhBD1T30d7hRCCCGE+F2TJE0IIYQQoh6SJE0IIYQQoh6SJE0IIYQQoh6SJE0IIYQQoh6SJE0IcV8ppQxKqcQSX52r2LezUur4fbjmLqXUSaXUUVO5I9e7OMcUpdSLpu/HK6XalXjvXxUVmr/HOA8ppXwsOOavSqnG93ptIYT1kSRNCHG/5WitfUp8ZdTSdUO01t7A5xjX4rsjWuuPtdZfmF6OB9qVeG+S1jrlvkT5nzhXYVmcfwUkSRPid0iSNCFEjTP1mP2vUuqw6euJCvZxV0odNPW+HVNKPWraPq7E9n8qpRpUc7ndgIvp2AFKqSNKqSSl1L+VUg+Zti9SSqWYrrPUtO1tpVS4UmoUxpqyUaZr2pt6wHoppf6ilFpSIubxSqkP7zLOfZQosKyUWq2UildKJSul/q9p2zSMyWKcUirOtC1QKbXPdB+/UUo5VHMdIYSVkiRNCHG/2ZcY6owxbfsNGKS17gkEAysrOG4KsEJr7YMxSbpgKn0TDDxp2m4AQqq5/jNAklLKDogEgrXWnhgrrPxFKdUCGAm4a629gIUlD9ZarwfiMfZ4+Witc0q8vR74U4nXwcC6u4xzMMYSTcVma617AV5AP6WUl9Z6Jcb6fgFa6wBTGac5wEDTvYwHXq/mOkIIK1Uvy0IJIaxajilRKakhEGGag2XAWC+yrH3AbKVUB2Cj1vqUUmoA4AscMpUQs8eY8FUkSimVA2QAUwFX4KzWOs30/ufAq0AEkAv8Syn1HbDV0h9Ma31FKXXGVHvvlOkae03nvZM4m2As/dOzxPYxSqlXMH4utwW6A8fKHOtn2r7XdJ1GGO+bEOIBJEmaEKI2vAZcBrwx9uDnlt1Ba/2VUuoAMAzYoZSaBCjgc631TAuuEVKy0LtS6g8V7WSqkfg4xkLVY4EwoP8d/CzrgDHACSBGa62VMWOyOE7gKLAI+Aj4k1KqCxAO9NZaX1dKRWIsnl2WAv5Ha/38HcQrhLBSMtwphKgNTsAvWusi4M8Ye5FKUUo5A2dMQ3xbMA777QRGKaVam/ZpoZTqZOE1TwCdlVIuptd/Bn4yzeFy0lpvwzgpv6InLG8CjpWcdyPwLPA8xoSNO41Ta12AcdjSzzRU2hS4BdxQSrUBhlQSy37gyeKfSSnVWClVUa+kEOIBIEmaEKI2rAJeUkrtxzjUeauCfYKB40qpROAx4AvTE5VzgB+UUseA/8E4FFgtrXUuMAH4RimVBBQBH2NMeLaazvcTxl6+siKBj4sfHChz3utACtBJa33QtO2O4zTNdfsHEK61PgocAZKBf2McQi22BvheKRWntb6C8cnTr03X2Y/xXgkhHkBKa13XMQghhBBCiDKkJ00IIYQQoh6SJE0IIYQQoh6SJE0IIYQQoh6SJE0IIYQQoh6SJE0IIYQQoh6SJE0IIYQQoh6SJE0IIYQQoh6SJE0IIYQQoh76/2vv0tF3G3p5AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model = ada_boost_model(x_train,y_train,x_val,y_val)\n",
    "ROC_plot(x_train,x_val,model)"
   ]
  },
  {
<<<<<<< HEAD
   "cell_type": "code",
   "execution_count": 322,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = 'pickle/model_ada.pkl'\n",
    "outfile = open(filename,'wb')\n",
    "pickle.dump(model,outfile)\n",
    "outfile.close()"
   ]
  },
  {
=======
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# XGBOOST"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 323,
=======
   "execution_count": 442,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "def XGBoost(x_train,y_train,x_val,y_val):\n",
    "    model = XGBClassifier()\n",
    "    model = XGBClassifier(learning_rate=0.1,n_estimators=80)\n",
    "    mf = model.fit(x_train,y_train)\n",
    "    y_pred=model.predict(x_val)\n",
    "    y_predict = mf.predict_proba(x_val)\n",
    "    print(\"XGBoost Train data Score\" , \":\" , mf.score(x_train, y_train) \n",
    "          , \",\" ,\"Validation data Score\" ,\":\" , mf.score(x_val, y_val))\n",
    "    print(\"Log_Loss: \",log_loss(y_val,y_predict))\n",
    "    confusionmatrix(y_val,y_pred)\n",
    "    Fscore(y_val,y_pred)\n",
    "    recall(y_val,y_pred)\n",
    "    report(y_val,y_pred)\n",
    "    fbeta(y_val,y_pred)\n",
    "    \n",
    "    \n",
    "    # plot feature importance\n",
    "    fig, ax = plt.subplots(figsize=(10, 20))\n",
    "    plot_importance(model, ax=ax)\n",
<<<<<<< HEAD
    "    plt.savefig('Feature_Engineering.png', bbox_inches='tight')\n",
=======
    "\n",
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
    "    plt.show()\n",
    "    return model\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 324,
=======
   "execution_count": 443,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "XGBoost Train data Score : 0.9386973180076629 , Validation data Score : 0.8850574712643678\n",
      "Log_Loss:  0.3860022797538289\n",
      "percentage of sensitivity = 89.47816591719031\n",
      "percentage of precision = 89.39073297836184\n",
      "Accuracy percentage = 95.40229885057471\n",
      "f score = 0.8920378627465831\n",
      "percentage of recall score = 0.8947816591719031\n",
      "Classification Report\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "     Failure       0.86      1.00      0.92         6\n",
      "        Poor       0.92      0.80      0.86        15\n",
      "Satisfactory       0.95      0.90      0.92        41\n",
      "        Good       0.85      0.90      0.87        91\n",
      "   Excellent       0.90      0.87      0.88       108\n",
      "\n",
      "   micro avg       0.89      0.89      0.89       261\n",
      "   macro avg       0.89      0.89      0.89       261\n",
      "weighted avg       0.89      0.89      0.89       261\n",
      "\n",
      "Fbeta score = 0.8926126068839595\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model = XGBoost(x_train,y_train,x_val,y_val)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# K Cross Validations"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 325,
=======
   "execution_count": 444,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "def k_cross_validations(x_train,y_train,):\n",
    "    X = x_train\n",
    "    y = y_train\n",
    "    kf = KFold(n_splits=10) # Define the split - into 2 folds \n",
    "    kf.get_n_splits(X) # returns the number of splitting iterations in the cross-validator\n",
    "    print(kf) \n",
    "    KFold(n_splits=10, random_state=None, shuffle=False)\n",
    "    return kf"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 326,
=======
   "execution_count": 445,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "KFold(n_splits=10, random_state=None, shuffle=False)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([0.83544304, 0.86075949, 0.81012658, 0.82051282, 0.83333333,\n",
       "       0.79487179, 0.84615385, 0.80769231, 0.79487179, 0.85897436])"
      ]
     },
<<<<<<< HEAD
     "execution_count": 326,
=======
     "execution_count": 445,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kf = k_cross_validations(x_train,y_train)\n",
    "classifier = model\n",
    "cross_val_score(classifier,x_train, y_train, cv=kf, n_jobs=1)"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 327,
=======
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 446,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [],
   "source": [
    "def FeatureImportance():\n",
    "    # Build a classification task using 3 informative features\n",
    "    X, y = make_classification(n_samples=1000,\n",
    "                               n_features=10,\n",
    "                               n_informative=3,\n",
    "                               n_redundant=0,\n",
    "                               n_repeated=0,\n",
    "                               n_classes=2,\n",
    "                               random_state=0,\n",
    "                               shuffle=False)\n",
    "\n",
    "    # Build a forest and compute the feature importances\n",
    "    forest = ExtraTreesClassifier(n_estimators=250,random_state=0)\n",
    "\n",
    "    forest.fit(X, y)\n",
    "    importances = forest.feature_importances_\n",
    "    std = np.std([tree.feature_importances_ for tree in forest.estimators_],\n",
    "                 axis=0)\n",
    "    indices = np.argsort(importances)[::-1]\n",
    "\n",
    "    # Print the feature ranking\n",
    "    print(\"Feature ranking:\")\n",
    "\n",
    "    for f in range(X.shape[1]):\n",
    "        print(\"%d. feature %d (%f)\" % (f + 1, indices[f], importances[indices[f]]))\n",
    "\n",
    "    # Plot the feature importances of the forest\n",
    "    plt.figure()\n",
    "    plt.title(\"Feature importances\")\n",
    "    plt.bar(range(X.shape[1]), importances[indices],\n",
    "           color=\"r\", yerr=std[indices], align=\"center\")\n",
    "    plt.xticks(range(X.shape[1]), indices)\n",
    "    plt.xlim([-1, X.shape[1]])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
<<<<<<< HEAD
   "execution_count": 328,
=======
   "execution_count": 447,
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Feature ranking:\n",
      "1. feature 1 (0.295902)\n",
      "2. feature 2 (0.208351)\n",
      "3. feature 0 (0.177632)\n",
      "4. feature 3 (0.047121)\n",
      "5. feature 6 (0.046303)\n",
      "6. feature 8 (0.046013)\n",
      "7. feature 7 (0.045575)\n",
      "8. feature 4 (0.044614)\n",
      "9. feature 9 (0.044577)\n",
      "10. feature 5 (0.043912)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "FeatureImportance()"
   ]
  },
  {
<<<<<<< HEAD
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Finally we choose XGBoost Model\n",
    "\n",
    "# Train data Score : 0.9386973180076629 \n",
    "\n",
    "# Validation data Score : 0.8850574712643678"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 329,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = 'pickle/model_xgb.pkl'\n",
    "outfile = open(filename,'wb')\n",
    "pickle.dump(model,outfile)\n",
    "outfile.close()"
   ]
  },
  {
=======
>>>>>>> 0ab59b60f06583b8dee4898f25c6671cccb69768
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
